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What's new in Microsoft Fabric?

This page is continuously updated with a recent review of what's new in Microsoft Fabric.

New to Microsoft Fabric?

Features currently in preview

The following table lists the features of Microsoft Fabric that are currently in preview. Preview features are sorted alphabetically.

Note

Features currently in preview are available under supplemental terms of use. Review for legal terms that apply to Azure features that are in beta, preview, or otherwise not yet released into general availability. Microsoft Fabric provides previews to give you a chance to evaluate and share feedback with the product group on preview features before they become generally available (GA).

Feature Learn more
Access your Delta Lake tables as Apache Iceberg in OneLake (Preview) OneLake now lets you access your Delta Lake tables using Apache Iceberg compatible readers, automatically, without data movement or duplication. To get started, see Use Iceberg tables with OneLake.
Anomaly detection (Preview) With a no-code interface, automatic model selection, and flexible alerts, tracking changes and unexpected events is easy with Anomaly detection in Real-Time Intelligence (Preview). For more information, see AI–Powered Real-Time Intelligence with Anomaly Detection (Preview).
Apache Iceberg data in OneLake using Snowflake and shortcuts (Preview) You can now consume Apache Iceberg-formatted data across Microsoft Fabric with no data movement or duplication, plus Snowflake has added the ability to write Iceberg tables directly to OneLake. For more information, see Use Apache Iceberg tables with OneLake.
Auditing for Fabric SQL database (Preview) Auditing for Fabric SQL database (Preview) introduces audit logging for Fabric SQL databases. You configure auditing in the portal, store logs in OneLake, and query them with sys.fn_get_audit_file_v2 to track access and changes for compliance and investigations. For more information, see Auditing for Fabric SQL database.
AutoML code-first preview In Fabric Data Science, the new AutoML feature enables automation of your machine learning workflow. AutoML, or Automated Machine Learning, is a set of techniques and tools that can automatically train and optimize machine learning models for any given data and task type.
AutoML low code user experience in Fabric (Preview) AutoML, or Automated Machine Learning, is a process that automates the time-consuming and complex tasks of developing machine learning models. The new low code AutoML experience supports various tasks, including regression, forecasting, classification, and multi-class classification. To get started, Create models with Automated ML (preview).
Azure Blob Storage in OneLake shortcut type (Preview) You can now create shortcuts to Azure Blob Storage in OneLake, making it easier to integrate and access blob data in Microsoft Fabric. For more information, see Create an Azure Blob Storage shortcut (preview).
Azure Key Vault references to authenticate to Fabric data connections (Preview) You can now authenticate to Fabric data connections using Azure Key Vault stored secrets (preview). Azure Key Vault references enable secure and centralized secret management for your data connections. For more information, see Azure Key Vault references overview (preview) and get started at Configure Azure Key Vault references.
Azure Monitor to Fabric Eventhouse (Preview) Azure Monitor to Fabric Eventhouse (Preview) lets you route VM telemetry via Azure Monitor Agent and Data Collection Rules into Eventhouse for schema‑managed ingestion, ad hoc queries, time‑series analytics, and activation. For more information, see Send virtual machine client data to Fabric and Azure Data Explorer (Preview).
Centralized data governance in the OneLake catalog (Preview) A new centralized data governance experience in the OneLake catalog is in preview. Data owners can view aggregated insights on the items they created, consider improving their governance by taking recommended actions, and access more information along with all available tools in Fabric.
Code-First Hyperparameter Tuning preview In Fabric Data Science, FLAML is now integrated for hyperparameter tuning, currently a preview feature. Fabric's flaml.tune feature streamlines this process, offering a cost-effective and efficient approach to hyperparameter tuning.
Confluent Schema Registry Support in Eventstream (Preview) Eventstream's Confluent Cloud for Apache Kafka streaming connector now supports decoding data from topics associated with a data contract in Confluent Schema Registry, enabling seamless ingestion, preview, and routing of schema-encoded streaming data in Fabric Real-Time Intelligence. For more information, see Add Confluent Cloud for Apache Kafka source to an eventstream.
Continuous ingestion from Azure Storage to Eventhouse (Preview) You can now use continuous ingestion from Azure Storage to Eventhouse (preview) to automatically and efficiently ingest data from Azure Storage into Eventhouse. For more information, see Get data from Azure Storage.
Copilot for Dataflow Gen 2 Modern Get Data With Copilot for the Modern Get Data experience in Dataflow Gen 2, you can ingest and transform data with natural language commands. For a walkthrough, see Blog: Copilot in Modern Get Data (MGD) for Dataflow Gen 2.
Copilot for Data Warehouse Chat preview You'll now see a Copilot button in the ribbon that starts a chat with Copilot for acceleration with any data warehousing task. For more information, see How to: Use the Copilot chat pane for Fabric Data Warehouse.
Copilot for SQL analytics endpoint (Preview) The Copilot for SQL analytics endpoint introduces Copilot capabilities for the SQL analytics endpoint, enabling users to generate and optimize SQL queries using natural language. For more information, see Copilot for SQL analytics endpoint.
Copilot in Fabric is available worldwide Copilot in Fabric is now available to all customers, including Copilot for Power BI, Copilot for Data Factory, Copilot for Data Science & Data Engineering, and Copilot for Writing KQL Queries. Read more in our Overview of Copilot in Fabric.
Copy job support for change data capture (CDC) (Preview) Change Data Capture (CDC) in Copy Job is a powerful capability in Data Factory Data pipelines that enables efficient and automated replication of changed data including inserted, updated, and deleted records from a source to a destination.
Copy job support for Multiple Scheduler (Preview) Copy job Multiple Scheduler support allows a single Copy job to be triggered at different intervals. In the past, this capability required creating multiple Copy jobs for each schedule. For more information, see Job scheduler in Microsoft Fabric.
DacFx Integration for Warehouse ALM Simplify your warehouse application lifecycle management (ALM) with DacFx integration in Git and deployment pipelines for Fabric Warehouse (preview). For more information, see Simplify your Warehouse ALM with DacFx integration in Git and Deployment Pipelines.
Dataflow Gen2 Public APIs (Preview) Data Factory APIs enable users to automate and manage dataflows, including creation, management, scheduling, and monitoring. For more information, see Use public parameters in Dataflow Gen2 (preview).
Data replication from Lakehouse with Delta Change Feed (Preview) The Fabric Lakehouse Table connector provides changed data from a Fabric Lakehouse via Delta Change Data Feed (CDF), to supported destinations. For more information, see Data Replication from Fabric Lakehouse with Delta Change Data Feed (Preview).
Data source instructions in Fabric Data Agent Data Source Instructions in the Fabric Data Agent help you get more precise, relevant answers from your structured data. For more information, see New in Fabric Data Agent: Data source instructions for smarter, more accurate AI responses.
dbt Job in Fabric Data Factory (Preview) A dbt Job in Fabric Data Factory lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance via Entra ID and SQL security policies. For more information, see dbt job in Microsoft Fabric (preview).
Delta column mapping in the SQL analytics endpoint SQL analytics endpoint now supports Delta tables with column mapping enabled. For more information, see Delta column mapping and Limitations of the SQL analytics endpoint. This feature is currently in preview.
Digital twin builder (Preview) Digital twin builder (preview) is a new item within the Real-Time Intelligence workload. Digital twins create data-driven, real-time representations of entities. It's a data modeling item that creates digital representations of real-world environments, to optimize physical operations using data. For more information, see What is digital twin builder (preview)?.
Encrypt data at rest using customer-managed keys (Preview) By default, Fabric encrypts all data at rest using Microsoft-managed keys. You can now encrypt data at rest in your Fabric workspaces using customer-managed keys, as a preview feature, giving you greater control over data security and compliance. For more information, see Customer-managed keys for Fabric workspaces.
Enhanced conversation with Microsoft Fabric Copilot (Preview) We're introducing improvements to AI functionalities in Microsoft Fabric, including a new way to store chat prompts and history, improved accuracy of responses, and better context knowledge retention.
Entity diagram in Eventhouse KQL database (Preview) Entity diagram in Eventhouse KQL database (Preview) adds a visual entity diagram for exploring tables, relationships, data flow, and schema violations in Eventhouse KQL databases. For more information, see View an entity diagram in KQL database (preview).
Evaluate your Fabric data agents with the Python SDK (Preview) You can now use the Python SDK to programmatically evaluate Fabric data agents. For more information, see Consume a Fabric Data Agent in Microsoft Copilot Studio (preview).
Eventstream Derived Streams in Direct Ingestion mode (Preview) You can ingest data from a Fabric Eventstream to Eventhouse seamlessly either from an eventstream or using Eventhouse Get Data Wizard. This capability is now being extended to support eventstream derived streams in direct ingestion mode. For more information, see Fabric Eventhouse now supports Eventstream Derived Streams in Direct Ingestion mode (preview).
Eventstream supports sourcing events with schema from an EventHub Source (Preview) Fabric Eventstream now supports sourcing events from an EventHub source while enforcing schema on the payloads.
Fabric Activator integration in Fabric User Data functions (Preview) Fabric Activator integration with Fabric User Data functions (preview) means you can create functions to process events from any source, including Fabric events and OneLake events. For more information, see Trigger Fabric items.
Fabric Capacity overview events in Real-Time Hub (Preview) Fabric Capacity overview events in Real-Time Hub (Preview) adds real-time capacity summary and state events so you monitor health, detect throttling, and trigger actions using Activator, Eventstream, and dashboards.
Fabric Data Agents + Microsoft Copilot Studio (Preview) The preview of the integration between Fabric data agents and Microsoft Copilot Studio is now available. Watch a demo from Build 2025 about Creating Data Agents in Fabric for Multi-Agent AI Solutions. For more information, see multi-agent orchestration in Microsoft Copilot Studio.
Fabric data agent integration with Azure AI Agent Service (Preview) We're excited to launch the integration of data agents in Fabric with Azure AI Agent Service from Azure AI Foundry. To get started, see Consume a Fabric Data Agent in Microsoft Copilot Studio (preview). The Fabric data agent SDK is also available in preview.
Fabric data agent integration with Microsoft Copilot Studio (Preview) Fabric data agent is available in preview and can be added as an agent to your custom setup in Microsoft Copilot Studio. For more information, see Fabric data agent integration with Microsoft Copilot Studio (preview).
Fabric data factory Upsert table action in the Lakehouse Connector (Preview) The Upsert (Preview) table action in the Lakehouse Connector is in preview.
Fabric SQL database customer-managed keys (Preview) Customer-managed keys (preview) let you use your own Azure Key Vault keys for workspace SQL database encryption with automatic TDE and key rotation control. For more information, see Data encryption in SQL database and Customer-managed keys for Fabric workspaces.
IQ (Preview) workload and ontology (Preview) item IQ (preview) is a new workload for unifying business semantics across data, models, and systems to power intelligent agents and decisions grounded in a live, holistic view of the business. It contains the ontology (preview) item, where you can define entity types, relationships, properties, and other constraints to organize data according to your business vocabulary. For more information, see What is IQ (preview)?.
Fabric Extensibility Toolkit (Preview) The Extensibility Toolkit builds on the foundation of the Workload Development Kit while introducing several key improvements and new capabilities. We have also created a new Fabric Community Repository. This repository contains a wide variety of item types built with the Extensibility toolkit you can add to your tenant. For more information, see Introducing the Microsoft Fabric Extensibility Toolkit.
Fabric MCP (Preview) Fabric MCP is a developer-focused Model Context Protocol server that enables AI-assisted code generation and item authoring in Microsoft Fabric. Designed for agent-powered development and automation, it integrates with tools like VS Code and GitHub Codespaces as part of the Microsoft MCP initiative. For more information, see Introducing Fabric MCP (preview).
Fabric Spark Applications Comparison (Preview) The Spark Applications Comparison feature lets users select and compare up to four Spark application runs side by side. For more information, see Blog: Fabric Spark Applications Comparison.
Fabric Spark Diagnostic Emitter (Preview) The Fabric Apache Spark Diagnostic Emitter (preview) allows Apache Spark users to collect logs, event logs, and metrics from their Spark applications and send them to various destinations, including Azure Event Hubs, Azure storage, and Azure log analytics.
Fabric variable libraries in Dataflow Gen2 with CI/CD (Preview) Fabric variable libraries offer a centralized way to manage configuration values across Microsoft Fabric workloads. With the new integration in Dataflow Gen2, you can reference these variables directly in your dataflow, enabling dynamic behavior across environments and simplifying CI/CD workflows. For more information, see variable libraries in Dataflow Gen2.
Folder REST API (Preview) You can now create and manage workspace folders in automation scenarios and integrate with other systems and tools. The Folder Rest API is now in preview. To get started, see Fabric REST API Folders.
Govern in OneLake Catalog for Fabric admins (Preview) OneLake catalog governance for Fabric admins (Preview) provides admin insights, recommended actions, and reports in the Govern tab to improve governance across capacities, domains, and items. For more information, see OneLake catalog and Governance in OneLake catalog.
Inline code completion in Fabric notebooks (Preview) Fabric notebooks with inline code completion helps users write code faster and with fewer errors. For more information, see Copilot for Data Science and Data Engineering (preview).
Item History in Fabric Capacity Metrics App (Preview) The Item History page in the Fabric Capacity Metrics App (Preview) provides a 30-day view of compute capacity consumption with interactive visuals and slicers for workspace and item-level analysis. For more information, see Understand the metrics app item history page (preview).
JobInsight Diagnostics Library (Preview) JobInsight is a diagnostics library to analyze completed Spark applications via APIs for queries, jobs, stages, tasks, executors, and event logs. For more information, see JobInsight diagnostics library (preview).
JSON Lines support in OPENROWSET (Preview) JSON Lines (JSONL) support in the OPENROWSET(BULK) function for Fabric Data Warehouse and SQL analytics endpoints is now in preview, allowing you to query external data in JSONL format. For more information, see OPENROWSET (BULK) (Transact-SQL).
Lakehouse schemas feature (Preview) The Lakehouse schemas feature (preview) introduces data pipeline support for reading the schema info from Lakehouse tables and supports writing data into tables under specified schemas. Lakehouse schemas allow you to group your tables together for better data discovery, access control, and more.
Lakehouse support for git integration and deployment pipelines (Preview) The Lakehouse now integrates with the lifecycle management capabilities in Microsoft Fabric, providing a standardized collaboration between all development team members throughout the product's life. Lakehouse Lifecycle management facilitates an effective product versioning and release process by continuously delivering features and bug fixes into multiple environments.
Livy REST API (Preview) The Fabric Livy endpoint lets users submit and execute their Spark code on the Spark compute within a designated Fabric workspace, eliminating the need to create a Notebook or Spark Job Definition item. The Livy API offers the ability to customize the execution environment through its integration with the Environment.
Load Fabric OneLake Data in Excel Easily load Fabric OneLake data into Excel with integrated OneLake catalog and modern Get Data experience (preview). For more information and steps to get started, see OneLake catalog and Get Data are integrated into Excel for Windows.
Materialized Lake views (Preview) Materialized Lake Views were announced at Build 2025. Materialized Lake Views in Microsoft Fabric enable fast and efficient querying of data stored in OneLake.
MCP Support for Real-Time Intelligence (Preview) Model Context Protocol (MCP) is now supported for Real-Time Intelligence (RTI)The open-source MCP server enables AI agents or AI applications to interact with Fabric RTI by providing tools through the MCP interface, allowing for seamless data querying and analysis capabilities.
MERGE support (Preview) The MERGE T-SQL syntax is now in preview for Fabric Data Warehouse. This DML statement provides a sleek and uniform approach for executing transformations based on conditions between a Source table and Target table. Perform INSERTs, UPDATEs, and DELETEs all in a single command with MERGE.
Microsoft Entra service principal support for Amazon S3 Shortcuts (Preview) You can now use Microsoft Entra service principals to access Amazon S3 via OneLake Shortcuts, eliminating the need for long-term AWS access keys. This integration uses OpenID Connect (OIDC) for short-lived, standards-based tokens, simplifies cross-cloud identity management, and enables full auditability via AWS CloudTrail. To get started, see AWS S3 shortcuts using service principal authentication.
Microsoft Fabric Admin APIs Fabric Admin APIs are designed to streamline administrative tasks. The initial set of Fabric Admin APIs is tailored to simplify the discovery of workspaces, Fabric items, and user access details.
Microsoft Fabric SKU estimator (Preview) The Microsoft Fabric SKU estimator, now available in preview, is an enhanced version of the previously introduced Microsoft Fabric Capacity Calculator. For more information, see Introducing the Microsoft Fabric SKU estimator (preview) and Mastering SKU Estimations with the Microsoft Fabric SKU Estimator.
Microsoft JDBC Driver (Preview) The Microsoft JDBC driver for Fabric Data Engineering (Preview) lets Java apps and BI tools connect to Spark SQL in Fabric using enterprise authentication, pooling, and Livy-based connectivity. For more information, see Microsoft JDBC driver for Fabric Data Engineering.
Mirroring from SAP databases (Preview) You can continuously replicate your SAP data directly into Fabric's OneLake. Once in Fabric, you can take advantage of powerful capabilities for business intelligence, AI, data engineering, data science, and data sharing. For more information, see Mirroring SAP (preview)
Mirroring for Google BigQuery (Preview) Mirroring in Fabric offers a simple way to avoid complex ETL (Extract, Transform, Load) processes and seamlessly integrate your existing Google BigQuery warehouse data with the rest of your data in Fabric. For more information, see Mirrored databases from Google BigQuery and Tutorial: Set up mirroring for Google BigQuery.
Modern evaluator for Dataflow Gen2 (Preview) The Modern Query Evaluation Engine (also known as the "Modern Evaluator") provides a new query execution engine running on .NET core version 8, which can significantly improve the performance of dataflow runs in some scenarios. For more information, see the Modern evaluator for Dataflow Gen2.
ML model endpoints (Preview) ML models in Fabric can now serve real-time predictions from secure, scalable, and easy-to-use online endpoints. In addition to batch predictions in Spark, you can use endpoints to bring ML model predictions to other Fabric solutions and custom applications. For more information, see Automated machine learning in Fabric and Model endpoints in Fabric.
MSSQL extension for VS Code Fabric integration (Preview) MSSQL extension for VS Code Fabric integration (Preview) adds support for connecting, running queries, and managing objects in SQL databases in Fabric directly from Visual Studio Code. Download the extension at mssql extension at marketplace.visualstudio.com.
Multiple-Schema Inferencing in Eventstream (Preview) Multiple-schema inferencing in Eventstream lets you work with multiple data sources that emit varying schemas by inferring and managing multiple schemas simultaneously. For more information, see Enhancing Data Transformation Flexibility with Multiple-Schema Inferencing in Eventstream (Preview).
Notebook Copilot inline code completion (Preview) Now in preview, Copilot Inline Code Completion (Preview) is an AI feature that assists data scientists and engineers in writing Python code more quickly and easily. For more information, see Notebook Copilot inline code completion (Preview).
Notebook debug within vscode.dev (Preview) You can now place breakpoints and debug your Notebook code with the Synapse VS Code - Remote extension in vscode.dev. This update first starts with the Fabric Runtime 1.3 (GA).
OneLake as a Source for COPY INTO and OPENROWSET (Preview) COPY INTO and OPENROWSET now support reading directly from OneLake paths in Fabric Data Warehouse (preview), enabling SQL-based data ingestion and ad hoc querying from Lakehouse folders without external storage or complex setup. For more information, see Ingest data into the Warehouse.
OneLake data access roles (Preview) OneLake data access roles for lakehouse are in preview. Role permissions and user/group assignments can be easily updated through a new folder security user interface. For an example, see Secure Mirrored Azure Databricks Data in Fabric with OneLake security.
OneLake security (Preview) OneLake security, now a preview feature, is fine-grained access control for OneLake data, including folder, row, and column-level security. For more information, see OneLake shortcut security and OneLake data access security API.
OneLake Table APIs (Preview) OneLake Table APIs are now in preview, enabling programmatic management of tables in OneLake using Apache Iceberg REST Catalog. For more information, see OneLake table APIs for Iceberg.
OpenAI plugins for Eventhouse (Preview) You can now use two powerful AI plugins for Eventhouse: AI Embed Text Plugin and AI Chat Completion Prompt Plugin. Connect Eventhouse data to OpenAI-powered applications for advanced analytics and AI scenarios. For more information, see ai_embed_text (preview) and ai_chat_completion (preview).
Outbound Access Protection Outbound Access Protection now applies to Fabric Data Warehouse (in Preview) and SQL analytics endpoint (GA) items, enforcing workspace-level rules for outbound connections. Outbound Access Protection strengthens governance, reduces risk, and ensures only trusted sources are used for data loads and queries. For more information, see Workspace outbound access protection.
Partitioned compute for Dataflow Gen2 (Preview) Partitioned compute is a capability of the Dataflow Gen2 engine that allows parts of your dataflow logic to run in parallel, reducing the time to complete its evaluations. For more information, see partitioned compute in Dataflow Gen2.
Pass Parameter Values to Fabric Items (Preview) Activator enables you to automatically activate Fabric items like pipeline and notebook whenever certain data conditions are met. You can not only activate and execute Fabric items but also pass values to the parameters defined in your Fabric items.
Prebuilt Azure AI services in Fabric preview The preview of prebuilt AI services in Fabric is an integration with Azure AI services, formerly known as Azure Cognitive Services. Prebuilt Azure AI services allow for easy enhancement of data with prebuilt AI models without any prerequisites. Currently, prebuilt AI services are in preview and include support for the Microsoft Azure OpenAI Service, Azure AI Language, and Azure AI Translator.
Preview-only steps for Dataflow Gen2 (Preview) Preview only steps are transformation steps in Dataflow Gen2 that are executed only during the authoring phase for the data preview. They're excluded from run operations, ensuring they don't affect runtime behavior or production logic. For more information, see preview-only step in Dataflow Gen2.
Public API capabilities for Dataflow Gen2 dataflows in Fabric Data Factory (Preview) This preview of the Dataflows Gen 2 public APIs enables users to create, update, and monitor their data workflows programmatically. The APIs support a wide range of operations including dataflows CRUD (Create, Read, Update, and Delete), scheduling, and monitoring, making it easier for users to manage their data integration processes.
Public parameter values to refresh a Dataflow Gen2 (Preview) Learn more about the new public parameters capability for Dataflow Gen2 with CI/CD support, and the support for this new mode within the Dataflow refresh activity in Data Pipelines.
Real-Time Intelligence Maps support Imagery files and data labeling (Preview) Maps now support imagery files such as Cloud Optimized GeoTIFF (COG) and Raster PMTiles, in addition to vector spatial formats. Data labeling settings are also now available for all geometry types—points, lines, and polygons—reflecting your feedback. To get started, Create a map (preview).
REST APIs for connections and gateways (Preview) REST APIs for connections and gateways are now in preview. These new APIs allow developers to programmatically manage and interact with connections and gateways within Fabric.
Result set caching (Preview) Result set caching works by persisting the final result sets for applicable SELECT T-SQL queries, bypassing complex compilation and data processing of the original query to return queries faster. For more information, see Result Set Caching for Microsoft Fabric Data Warehouse (preview).
SAP Datasphere Mirroring and Copy Job support (Preview) SAP Connectivity in Microsoft Fabric now supports Mirroring for SAP Datasphere and Copy Job support for SAP Datasphere as preview features.
Scalar user-defined functions (UDFs) Scalar user-defined functions (UDFs) are now supported as a preview feature. For more information, see CREATE FUNCTION for Fabric Data Warehouse.
Schema Registry (Preview) Event Schema Registry (preview) provides a contract-based way to define and validate event schemas in Fabric Eventstreams for type-safe, reliable real-time pipelines. For more information, see Schema Registry overview.
Secure mirrored Azure Databricks data with OneLake security (Preview) You can secure mirrored Azure Databricks data in Fabric using OneLake security, now a feature in preview. You can now map Unity Catalog (UC) policies to Microsoft OneLake security. For more information, see Automatic identity managed in Azure Databricks.
Share the Fabric Data agent (Preview) Share capability for the Fabric Data agent (preview) allows you to share the Data agent with others using various permission models.
Shortcut transformations (Preview) Shortcut transformations let you automatically transform files into Delta tables as you bring data into or move it within OneLake, keeping data always in sync without the need for pipelines. For more information, see Shortcuts file transformations.
Solace PubSub+ Connector Seamlessly connect Fabric Eventstream with Solace PubSub+ (preview). For more information and steps to get started, see New Solace PubSub+ Connector: seamlessly connect Fabric Eventstream with Solace PubSub+ (preview).
Spark Connector for SQL databases (Preview) Spark Connector for SQL databases lets Spark read and write to Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VM, and Fabric SQL databases with built‑in authentication and PySpark support. For more information, see Spark connector for SQL databases documentation.
SQL database support for Tenant level private links (Preview) You can use tenant level private links to provide secure access for data traffic in Microsoft Fabric, including SQL database (in preview). For more information, see Set up and use private links and Blog: Tenant Level Private Link (Preview).
SQL database data virtualization (Preview) Data virtualization in SQL database enables querying external data stored in OneLake using T-SQL. With data virtualization syntax, you can execute Transact-SQL (T-SQL) queries on files that store data in common data formats in OneLake. You can combine this data with locally stored relational data by using joins.
SQL Operator under Fabric Eventstream (Preview) The new SQL Operator enables real-time data transformation with the flexibility and control to craft custom transformations using custom SQL syntax. To get started, see Process events using SQL code editor (preview).
Synapse Data Explorer to Eventhouse migration tooling (Preview) The next generation of Azure Synapse Data Explorer offering is evolving to become Eventhouse. To get started, see Migrate from Azure Synapse Data Explorer to Fabric Eventhouse (preview).
Tabbed navigation for multitasking and other UI improvements Fabric now supports tabs to open multiple items and easily switch between them. It offers an object explorer that lets you browse and open items across all your open workspaces. To learn more, see tabbed navigation in Fabric portal and New Multitasking Features coming to Fabric (Preview).
Upsert to delta table with Lakehouse connector (Preview) We've added upsert support to the Lakehouse connector, allowing direct writes to Delta tables, in both Copy job and Copy activity within Pipeline. For more information, see Configure Lakehouse in a copy activity.
Warehouse data clustering (Preview) Data clustering is a technique used to organize and store data based on similarity. Data clustering improves query performance and reduces compute and storage access costs for queries by grouping similar records together. For more information and to get started, see Data clustering documentation and Use data clustering in Fabric Data Warehouse.
Warehouse IDENTITY columns (Preview) IDENTITY columns automatically produce unique values for each new row, eliminating the need for manual key assignments and eliminating the risk of key duplication and key integrity issues. For more information and to get started, see IDENTITY columns and Use IDENTITY columns to create surrogate keys. You can also learn how to Migrate to IDENTITY columns in Fabric Data Warehouse.
Warehouse source control (Preview) Using Source control with Warehouse (preview), you can manage development and deployment of versioned warehouse objects. You can use SQL Database Projects extension available inside of Azure Data Studio and Visual Studio Code. For more information on warehouse source control, see CI/CD with Warehouses in Microsoft Fabric.
Warehouse SQL Audit Logs SQL Audit Logs in Fabric Data Warehouse provide a comprehensive and immutable record of all database activities, capturing critical details such as the event timestamp, the user or process that triggered the action, and the executed T-SQL statements. For more information, see Introducing SQL Audit Logs for Fabric Data Warehouse.
Workspace-level workload assignment (Preview) Workspace admins can now add additional workloads directly to their workspaces, eliminating the need for tenant or capacity-level setup. In the Workloads Hub, admins can add workloads directly to a workspace.
Workspace monitoring (Preview) Workspace monitoring is a Microsoft Fabric database that collects data from a range of Fabric items in your workspace, and lets users access and analyze logs and metrics. For more about this feature, see Announcing preview of workspace monitoring.

Generally available features

The following table lists the features of Microsoft Fabric that recently transitioned from preview to general availability (GA).

Month Feature Learn more
November 2025 Copy Job Activity in Data Factory Pipeline (Generally Available) A Copy job activity in Data Factory pipelines (GA) lets you run existing or new Copy jobs as pipeline activities, chain them with notebooks or dataflows, and use email notifications, all with no‑code simplicity. For more information, see Copy job Activity in Data Factory pipelines and What is Copy job in Data Factory?
November 2025 Large string and binary values in Fabric Data Warehouse and SQL analytics endpoint for mirrored items (Generally Available) Support for VARCHAR(MAX) and VARBINARY(MAX) lets you ingest, store, and query large text and binary data (varchar(max) and varbinary(max)) without truncation in Fabric Data Warehouse and SQL analytics endpoints for mirrored items, with size limits varying by source. For more information, see Data types.
November 2025 Fabric AI Functions (Generally Available) Fabric AI Functions are now generally available with major enhancements. New features include: the ai.embed() function for text embeddings; new parameters for ai.analyze_sentiment, ai.extract (ExtractLabel schema for structured labels), ai.generate_response (response_format and JSON schema support), and ai.summarize (instructions parameter); advanced gpt-5 configuration options (reasoning_effort and verbosity); increased default concurrency to 200 for faster execution; and expanded model support including Azure OpenAI and Azure AI Foundry resources (e.g., Claude, LLaMA). For more information, see Transform and enrich data with AI functions and the GA announcement.
November 2025 Cosmos DB Mirroring (GA) Both Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring are now generally available in Microsoft Fabric. For more information, see Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring (Generally Available).
November 2025 SQL Server 2025 Mirroring (GA) SQL Server 2025 is now generally available, along with SQL Server Mirroring. For more information, see Mirroring for SQL Server in Microsoft Fabric (Generally Available).
November 2025 SQL Server mirroring to Fabric (GA) You can continuously replicate your existing SQL Server databases directly into Fabric's OneLake. Inside Fabric, you can unlock powerful business intelligence, artificial intelligence, Data Engineering, Data Science, and data sharing scenarios. For more information, see Mirroring SQL server.
November 2025 Eventstream Activator destination (Generally Available) Fabric Eventstream supports the Activator destination for processing and transforming events with business requirements before routing the events to the destination. With Eventstream Activator destination, you can detect important patterns in your live data and trigger the right action automatically—no code required.
November 2025 PostgreSQL flexible server mirroring to Fabric Fabric Database Mirroring now supports replication of your Azure Database for PostgreSQL Flexible Server. You can continuously replicate data in near real-time from your Flexible Server instance to Fabric OneLake. For more information, see Mirroring Azure Database for PostgreSQL flexible server.
November 2025 Copilot in Fabric SQL database (GA) Copilot in Fabric in the SQL database workload? provides a natural‑language Copilot that helps generate, explain, and optimize SQL queries, surface relevant insights, and accelerate common database tasks. For more information, see Copilot and Query Editor in SQL database in Fabric (Generally Available).
November 2025 Fabric SQL database (GA) SQL database in Microsoft Fabric is a developer-friendly transactional database, based on Azure SQL Database, that allows you to easily create your operational database in Fabric. SQL database in Fabric uses the SQL Database Engine as Azure SQL Database.
November 2025 Warehouse snapshots Warehouse snapshots, now generally available, are a point-in-time, read-only representation of your data warehouse. You can create a snapshot of your warehouse at any point in the past 30 days, connect to it and query it just like a warehouse, and "roll forward" your snapshot regularly. To get started, see Create and manage a warehouse snapshot.
November 2025 ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available) ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available), now generally available, brings spatial analytics to Fabric Spark. For more information, see ArcGIS GeoAnalytics for Microsoft Fabric.
November 2025 Cosmos DB in Microsoft Fabric Cosmos DB in Microsoft Fabric is now generally available to all users. Since its announcement at Microsoft Build 2025, several new capabilities have been added, including vector indexing and search. For more information, see Announcing Cosmos DB in Microsoft Fabric. To get started, see Quickstart: Create a Cosmos DB database in Microsoft Fabric (preview).
October 2025 Query and ingest JSONL files (Generally Available) You can query and ingest JSONL files in a warehouse or a SQL analytics endpoint, now generally available. OPENROWSET(BULK) enables scalable reading and ingestion of JSONL files in Fabric Data Warehouse.
October 2025 Outbound Access Protection for Warehouse, SQL analytics endpoint Outbound Access Protection now applies to Fabric Data Warehouse (in Preview) and SQL analytics endpoint (GA) items, enforcing workspace-level rules for outbound connections. Outbound Access Protection strengthens governance, reduces risk, and ensures only trusted sources are used for data loads and queries. For more information, see Workspace outbound access protection.
October 2025 OneLake diagnostics (Generally Available) OneLake diagnostics provides end-to-end visibility into data activity across Fabric workspaces. OneLake diagnostics enable unified logging of data access and operations, supports compliance, and allows analysis using Spark, SQL, Eventhouse, or Power BI. For more information, see OneLake diagnostics.
October 2025 Customer-managed keys for Fabric workspaces (Generally Available) Customer-managed keys for Fabric workspaces (now generally available) enable workspace admins to encrypt data at rest by using their own keys from Azure Key Vault. For more information, see Customer-managed keys for Fabric workspaces.
October 2025 Azure Synapse Runtime for Apache Spark 3.5 (Generally Available) Azure Synapse Runtime for Apache Spark 3.5 is now generally available, for production workloads on Spark 3.5 and Delta Lake 3.2 in Azure Synapse. For more information, see Azure Synapse Runtime for Apache Spark 3.5 documentation..
October 2025 Workspace Outbound Access Protection for Spark (Generally Available) Workspace Outbound Access Protection for Spark lets workspace admins restrict Spark outbound connections to only approved destinations via managed private endpoints to reduce data exfiltration risk. For more information, see Workspace outbound access protection.
October 2025 Workspace-level Private Link (Generally Available) Fabric workspace-level Private Link, now generally available, enables fine-grained network isolation by securing individual Fabric workspaces with private endpoints. For more information, see Private link for Fabric workspaces.

For older general availability (GA) announcements, review the Microsoft Fabric What's New archive.

Community

This section summarizes new Microsoft Fabric community opportunities for prospective and current influencers and MVPs.

Tip

FabCon + SQLCon are together on March 16-20, 2026, in Atlanta, GA, USA! Join us for the ultimate Power BI, Microsoft Fabric SQL, Real-Time Intelligence, AI, and Databases community-led event. Register with code FABCOMM to save $200.

Month Feature Learn more
November 2025 Fabric Influencers Spotlight November 2025 The Fabric Influencers Spotlight November 2025 highlights MVPs and Super Users creating standout Fabric content across Power BI, Data Engineering, Data Science, Governance, and Databases, with links to videos and blogs to learn from the community.
November 2025 Announcing the winners of The Microsoft Fabric FabCon Global Hack The Microsoft Fabric FabCon Global Hack winning projects showcase AI innovation with Fabric across categories like Real-Time Intelligence, Open Mirroring, and analytics. You see how teams build end-to-end solutions, with project repositories shared on GitHub for further exploration.
November 2025 The Microsoft SQL Community Conference SQLCon will be co‑located with FabCon for deep SQL Server 2025, Azure SQL, and Fabric SQL database sessions, workshops, roadmap keynotes, and more.
November 2025 Data & AI with Microsoft Fabric Data Days Fabric Data Days offers 50+ days of immersive learning designed for data professionals at every level and students alike. Don't miss your chance to gain practical experience, earn free certifications exam voucher, and connect with a global community of experts.
October 2025 Fabric Influencers Spotlight October 2025 The Fabric Influencers Spotlight, a recurring monthly post here to shine a bright light on the places on the internet where Microsoft MVPs & Fabric Super Users are doing some amazing work on all aspects of Microsoft Fabric.

For older updates, review the Microsoft Fabric What's New archive.

Power BI

Important

If you access Power BI on a web browser version older than Chrome 94, Microsoft Edge 94, Safari 16.4, Firefox 93, or equivalent, you need to upgrade your web browser to a newer version by August 31, 2024. Using an outdated browser version after this date can prevent you from accessing features in Power BI.

Updates to Power BI Desktop and the Power BI service are summarized at What's new in Power BI?

Microsoft Fabric platform features

News and feature announcements about the Microsoft Fabric platform experience.

Month Feature Learn more
November 2025 Govern in OneLake Catalog for Fabric admins (Preview) OneLake catalog governance for Fabric admins (Preview) provides admin insights, recommended actions, and reports in the Govern tab to improve governance across capacities, domains, and items. For more information, see OneLake catalog and Governance in OneLake catalog.
November 2025 Geospatial Intelligence with Esri's ArcGIS Maps Workload (Preview) Esri's ArcGIS Maps Workload (Preview) can visualize, analyze, and share geospatial insights with OneLake integration, Spark‑based processing, Power BI embedding, and smart mapping features. To get started, see Microsoft Fabric Workload Hub.
November 2025 Default Semantic Models retirement By November 30, 2025, all Power BI default semantic models are disconnected from their item and become independent semantic models. You can retain them if you still use them for reports or dashboards or delete them safely if they are no longer needed. For more information, see Blog: Decoupling Default Semantic Models for Existing Items in Microsoft Fabric.
October 2025 Outbound Access Protection Outbound Access Protection now applies to Fabric Data Warehouse (in Preview), SQL analytics endpoint (GA) items, and Spark (GA), enforcing workspace-level rules for outbound connections. Outbound Access Protection strengthens governance, reduces risk, and ensures only trusted sources are used for data loads and queries. For more information, see Workspace outbound access protection.
October 2025 Customer-managed keys for Fabric workspaces (Generally Available) Customer-managed keys for Fabric workspaces (now generally available) enable workspace admins to encrypt data at rest by using their own keys from Azure Key Vault. For more information, see Customer-managed keys for Fabric workspaces.
October 2025 OneLake security (Preview) OneLake security, now a preview feature, is fine-grained access control for OneLake data, including folder, row, and column-level security. For more information, see OneLake shortcut security and OneLake data access security API.
October 2025 Workspace-level Private Link (Generally Available) Fabric workspace-level Private Link, now generally available, enables fine-grained network isolation by securing individual Fabric workspaces with private endpoints. For more information, see Private link for Fabric workspaces.

For older updates, review the Microsoft Fabric What's New archive.

Continuous Integration/Continuous Delivery (CI/CD) in Microsoft Fabric

This section includes guidance and documentation updates on development process, tools, source control, and versioning in the Microsoft Fabric workspace.

Month Feature Learn more

For older updates, review the Microsoft Fabric What's New archive.

Microsoft Copilot in Microsoft Fabric

With Copilot and other generative AI features in preview, Microsoft Fabric brings a new way to transform and analyze data, generate insights, and create visualizations and reports. For more information, see Overview of Copilot in Fabric.

Month Feature Learn more
July 2025 Fabric Data Agents + Microsoft Copilot Studio (Preview) The preview of the integration between Fabric data agents and Microsoft Copilot Studio is now available. Watch a demo from Build 2025 about Creating Data Agents in Fabric for Multi-Agent AI Solutions. For more information, see multi-agent orchestration in Microsoft Copilot Studio.

For older updates, review the Microsoft Fabric What's New archive.

Data Factory in Microsoft Fabric

This section summarizes recent new features and capabilities of Data Factory in Microsoft Fabric. Follow issues and feedback through the Data Factory Community Forum.

Month Feature Learn more
December 2025 Run Notebooks in Pipelines with Service Principal or Workspace Identity A Notebook activity with SPN or workspace identity now lets you configure secure, non‑interactive runs in Data Factory pipelines using Entra ID credentials to harden production workloads and avoid user‑bound sessions. For more information, see Transform data by running a notebook.
November 2025 On-premises data gateway November 2025 release The On-premises data gateway November 2025 release updates the gateway to version 3000.294 to align with the November 2025 Power BI Desktop release so your refreshed datasets use the same runtime and connector behavior.
November 2025 Copy Job Activity in Data Factory Pipeline (Generally Available) A Copy job activity in Data Factory pipelines (GA) lets you run existing or new Copy jobs as pipeline activities, chain them with notebooks or dataflows, and use email notifications, all with no‑code simplicity. For more information, see Copy job Activity in Data Factory pipelines and What is Copy job in Data Factory?
November 2025 dbt Job in Fabric Data Factory (Preview) A dbt Job in Fabric Data Factory lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance via Entra ID and SQL security policies. For more information, see dbt job in Microsoft Fabric (preview).
November 2025 Apache Airflow Job File Management APIs Apache Airflow Job File Management APIs let you programmatically upload, update, list, retrieve, and delete Airflow job (DAG) files with secure, role‑based operations for automated workflows. For more information, see API capabilities for Apache Airflow Job.
November 2025 Expanded CDC Support for More Sources & Destinations – Simplifying Data Ingestion with Copy job Data Factory Copy job expands CDC to SAP via Datasphere, Snowflake, and BigQuery, adds Lakehouse as a CDC destination, and improves monitoring with watermark and row‑count stats. For more information, see Microsoft Fabric Copy Job.
November 2025 Data Factory Features Announced at Ignite New Data Factory Features Announced at Ignite include Copilot expression builder for pipeline expressions, hierarchical view, and a file uploader for your Fabric Apache Airflow job project. For more information, see pipeline runs.
November 2025 Copy Job Truncate Destination, Queries and Multiple Folders Copy Job now supports truncate before full load, query‑based full and incremental copies, and folder copy in a single job. For more information, see Microsoft Fabric Copy Job.
October 2025 On-premises data gateway October 2025 release On-premises data gateway October 2025 release updates the gateway to version 3000.290, adds Power BI Desktop compatibility, and fixes proxy configuration issues.
October 2025 Simplifying Data Ingestion with Copy job – More File Formats with Enhancements Simplifying Data Ingestion with Copy job – More File Formats with Enhancements adds support for ORC, Excel, Avro, XML, and enhanced CSV options to Copy job in Data Factory. For more information, see Microsoft Fabric Copy job.
October 2025 Mission-Critical Data Integration: What's New in Fabric Data Factory The blog post: Mission-Critical Data Integration: What's New in Fabric Data Factory highlights new enterprise Data Factory capabilities including workspace identity authentication, Private Link, Azure Key Vault integration, virtual network gateway support and lifecycle controls, Connections and Gateways API, and PowerShell automation for gateways.
October 2025 Latest Fabric Data Factory Connector Innovations We've introduced new and enhanced connectors for Fabric Data Factory, enabling secure, scalable, and flexible data integration across cloud and on-premises sources. For more information, see Latest Fabric Data Factory Connector Innovations.

For older updates, review the Microsoft Fabric What's New archive.

Data Factory in Microsoft Fabric samples and guidance

Month Feature Learn more
December 2025 Replicate data from Dataverse through Fabric to multiple destinations The Copy job for Dataverse replication lets you move Dataverse data through Fabric to multiple targets using bulk, incremental, and CDC patterns with simple setup.
November 2025 AI-powered troubleshooting for Fabric pipeline error messages Copilot Insights for errors in a Pipeline Run explain pipeline errors, surfaces root causes, and recommends fixes so you resolve failures faster without deciphering complex messages.
November 2025 Natural Language to Generate and Explain Pipeline Expressions with Copilot (Preview) Copilot in Pipeline Expression Builder (Preview) lets you describe intent to generate expressions and ask for plain‑language explanations, reducing syntax errors and speeding pipeline development.
October 2025 Simplifying data ingestion with Copy Job: Copy data across tenants using Copy Job in Fabric Data Factory Learn how to simplifying data ingestion with Copy Job, using the ability to copy data between different Microsoft Fabric tenants using Copy Job in Data Factory.
October 2025 Copy data across tenants using Copy job in Fabric Data Factory Copy job now supports cross-tenant data movement, enabling users to copy data between Azure Data Lake Gen2 and Fabric Data Warehouse using service principal authentication. For more information, see Copy data across tenants using Copy job in Fabric Data Factory.

Fabric Data Engineering

This section summarizes recent new features and capabilities of the Data Engineering workload in Microsoft Fabric.

Month Feature Learn more
November 2025 Microsoft JDBC Driver (Preview) The Microsoft JDBC driver for Fabric Data Engineering (Preview) lets Java apps and BI tools connect to Spark SQL in Fabric using enterprise authentication, pooling, and Livy-based connectivity. For more information, see Microsoft JDBC driver for Fabric Data Engineering.
November 2025 What's new in Fabric User Data Functions? Ignite 2025 edition What's new in Fabric User Data Functions? Ignite 2025 edition includes Activator triggers, Variable Library integration, Azure Key Vault access, and Cosmos DB support so you centralize Python business logic and connect across Fabric items.
November 2025 Fabric Activator integration in Fabric User Data functions (Preview) Fabric Activator integration with Fabric User Data functions (preview) means you can create functions to process events from any source, including Fabric events and OneLake events. For more information, see Trigger Fabric items.
November 2025 ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available) ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available), now generally available, brings spatial analytics to Fabric Spark. For more information, see ArcGIS GeoAnalytics for Microsoft Fabric.
November 2025 Spark executor rolling logs Executor rolling logs for Spark 3.4 and above are supported for Spark History Server (for completed applications) and Spark UI (for running applications). For more information, see Extended Apache Spark history server.
October 2025 Announcing the open-source release of Microsoft Fabric Extension for VS Code Announcing the open-source release of Microsoft Fabric Extension for VS Code makes the Fabric Core extension for VS Code open source, enabling community contributions and transparency.
October 2025 Securely accessing on-premises data with Fabric Data Engineering workloads Securely access on-premises data and network-isolated data sources using managed private endpoints and REST APIs. For more information, see Set up a private link service for Fabric managed private endpoints.
October 2025 OneLake Blob and ADLS APIs OneLake APIs support Azure Blob Storage and Azure Data Lake Storage Gen2 APIs, enabling applications to access OneLake without code changes. For more information, see OneLake access and APIs.
October 2025 OneLake security with row and column-level security policies Learn how Spark supports OneLake security with row and column-level security policies. For more information, see OneLake security overview.
October 2025 Spark Connector for SQL databases (Preview) Spark Connector for SQL databases lets Spark read and write to Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VM, and Fabric SQL databases with built‑in authentication and PySpark support. For more information, see Spark connector for SQL databases documentation.
October 2025 Optimized Compaction in Fabric Spark Optimized Compaction in Fabric Spark adds Fast Optimize, File Level Compaction Target, and Auto Compaction features to reduce write amplification and automate table maintenance. For more information, see Compacting Delta tables.
October 2025 OneLake Table APIs (Preview) OneLake Table APIs are now in preview, enabling programmatic management of tables in OneLake using Apache Iceberg REST Catalog. For more information, see OneLake table APIs for Iceberg.
October 2025 OneLake diagnostics (Generally Available) OneLake diagnostics provides end-to-end visibility into data activity across Fabric workspaces. OneLake diagnostics enable unified logging of data access and operations, supports compliance, and allows analysis using Spark, SQL, Eventhouse, or Power BI. For more information, see OneLake diagnostics.
October 2025 Job-Level Bursting Switch for Spark The Job-Level Bursting Switch gives capacity admins control to enable or disable Spark job bursting, optimizing for either peak performance or higher concurrency. For more information, see Job level bursting switch.
October 2025 Target File Size and Adaptive Target File Size in Fabric Spark Introducing two powerful file size management features in Microsoft Fabric Spark: use defined Target File Size and Adaptive Target File Size. With Adaptive Target File Size Management in Fabric Spark, Fabric Spark now adapts file sizes as they grow, improving query performance, parallelism, and reducing operational overhead.
October 2025 Customer-managed keys for Fabric workspaces (Generally Available) Customer-managed keys for Fabric workspaces (now generally available) enable workspace admins to encrypt data at rest by using their own keys from Azure Key Vault. For more information, see Customer-managed keys for Fabric workspaces.
October 2025 Azure Synapse Runtime for Apache Spark 3.5 (Generally Available) Azure Synapse Runtime for Apache Spark 3.5 is now generally available, for production workloads on Spark 3.5 and Delta Lake 3.2 in Azure Synapse. For more information, see Azure Synapse Runtime for Apache Spark 3.5 documentation..
October 2025 OneLake Security on the SQL Analytics Endpoint OneLake Security (preview) enables centralized, fine-grained access control for the SQL analytics endpoint, including roles, RLS, and CLS policies. For more information, see OneLake Security for SQL analytics endpoints and OneLake security overview.
October 2025 OneLake security (Preview) OneLake security, now a preview feature, is fine-grained access control for OneLake data, including folder, row, and column-level security. For more information, see OneLake shortcut security and OneLake data access security API.
October 2025 Workspace Outbound Access Protection for Spark (Generally Available) Workspace Outbound Access Protection for Spark lets workspace admins restrict Spark outbound connections to only approved destinations via managed private endpoints to reduce data exfiltration risk. For more information, see Workspace outbound access protection.
October 2025 Fabric User Data Functions (Generally Available) Fabric user data functions are now generally available. You can create functions that contain business logic and connect to Fabric data sources, and/or invoke them from other Fabric items such as Data pipelines, Notebooks and Power BI reports. For more information, see Fabric user data functions.

For older updates, review the Microsoft Fabric What's New archive.

Fabric Data Engineering samples and guidance

Month Feature Learn more
December 2025 Turning everyday documents from SharePoint and OneDrive into analytics ready data with OneLake shortcuts OneDrive and SharePoint shortcuts in OneLake let you reference Microsoft 365 files in place, browse them alongside lake data, and optionally transform folders into structured tables that stay in sync.
December 2025 Exposing Lakehouse Materialized Views to applications with GraphQL APIs Expose Lakehouse materialized views with a GraphQL schema from a Lakehouse materialized view, then query exactly the fields you need with filtering, sorting, and pagination.
November 2025 Environment configuration in Fabric User data functions with variable libraries Manage UDF environment configuration with variable libraries in User Data Functions to keep secrets and settings out of code and inject values across dev, test, and prod. For more information, see Get started with variable libraries and User Data Functions overview.
November 2025 Transform sensitive text into AI-ready data on Microsoft Fabric Learn how to Transform sensitive text into AI-ready data with Tonic Textual. You can detect, redact, and synthesize sensitive entities in unstructured files directly in OneLake so you can create AI-ready datasets while staying compliant.
November 2025 Fine‑grained ReadWrite access to data with OneLake security (Preview) Fine‑grained ReadWrite access to data with OneLake security (Preview) lets you grant precise write access to specific lakehouse tables and folders—without elevated workspace roles—so you can upload, edit, and manage files via Spark and OneLake APIs while remaining least‑privilege. For more information, see OneLake security overview.
October 2025 From Files to Delta Tables—Parquet & JSON data ingestion simplified with Shortcut Transformations Shortcut Transformations enable automatic schema handling, deep flattening, and continuous sync for Parquet and JSON files into Delta tables. For more information, see Shortcut transformations.
October 2025 How Spark supports OneLake security with row and column-level security policies How Spark supports OneLake security with row and column-level security policies explains how Spark in Fabric enforces row and column-level security policies for data stored in OneLake. For more information, see OneLake security overview.

Fabric Data Science

This section summarizes recent improvements and features for Data Science in Microsoft Fabric.

Month Feature Learn more
December 2025 OneLake Files in Microsoft Foundry IQ Integrate OneLake files with Foundry IQ to index and enrich documents, images, logs, and transcripts directly from OneLake, without duplication or complex pipelines. For more information, see Use OneLake files in Microsoft Foundry.
November 2025 Fabric AI Functions (Generally Available) Fabric AI Functions are now generally available with comprehensive enhancements including the new ai.embed() function for text embeddings, new parameters for sentiment analysis, entity extraction, text generation and summarization, advanced gpt-5 configuration options, increased default concurrency (200), and expanded model support for Azure OpenAI and Azure AI Foundry resources (Claude, LLaMA, etc.). For more information, see Transform and enrich data with AI functions.
November 2025 Creator Improvements in the Data Agent Creator Improvements in the Data Agent adds example query referencing, diagnostic tracing, SDK validation for few-shot examples, Markdown instructions, and a multitasking creation flow to speed debugging and iteration. To get started, see Configure your data agent.
October 2025 Service Principal Support in Semantic Link Service Principal Support in Semantic Link provides service principal authentication so notebooks and pipelines can run non-interactively at scale with secure automated access to semantic models. For more information, see Semantic Link service principal support.
October 2025 Fabric Data Agent now supports CI/CD, ALM Flow, and Git Integration Fabric Data Agent now supports CI/CD, ALM flow, and Git integration for version control and collaborative development. For more information, see Fabric data agent source control.

For older updates, review the Microsoft Fabric What's New archive.

Fabric Data Science samples and guidance

Month Feature Learn more

Cosmos DB in Microsoft Fabric

This section summarizes recent improvements and features for Cosmos DB in Microsoft Fabric.

Month Feature Learn more
November 2025 Cosmos DB in Microsoft Fabric (GA) Cosmos DB in Microsoft Fabric is now generally available to all users. Since its announcement at Microsoft Build 2025, several new capabilities have been added, including vector indexing and search. For more information, see Announcing Cosmos DB in Microsoft Fabric. To get started, see Quickstart: Create a Cosmos DB database in Microsoft Fabric (preview).

SQL database in Microsoft Fabric

This section summarizes recent improvements and features for SQL databases in Microsoft Fabric.

Month Feature Learn more
November 2025 Auditing for Fabric SQL database (Preview) Auditing for Fabric SQL database (Preview) introduces audit logging for Fabric SQL databases. You configure auditing in the portal, store logs in OneLake, and query them with sys.fn_get_audit_file_v2 to track access and changes for compliance and investigations. For more information, see Auditing for Fabric SQL database.
November 2025 SQL database in Fabric (Generally Available) SQL database in Fabric (Generally Available) is a serverless SQL database with T‑SQL and familiar tooling. Why SQL Database in Fabric? Built on the trusted SQL Server and Azure SQL Database engine, this is the first fully SaaS-native operational database experience within Microsoft Fabric.
November 2025 Copilot in Fabric SQL database (Generally Available) Copilot in Fabric in the SQL database workload? provides a natural‑language Copilot that helps generate, explain, and optimize SQL queries, surface relevant insights, and accelerate common database tasks. For more information, see Copilot and Query Editor in SQL database in Fabric (Generally Available).
November 2025 Data virtualization in SQL database in Fabric (Preview) Data virtualization in SQL database enables querying external data stored in OneLake using T-SQL. With data virtualization syntax, you can execute Transact-SQL (T-SQL) queries on files that store data in common data formats in OneLake. You can combine this data with locally stored relational data by using joins. For more information, see OPENROWSET and external tables for SQL database in Fabric (preview).
November 2025 Fabric SQL database customer-managed keys (Preview) Customer-managed keys (preview) let you use your own Azure Key Vault keys for workspace SQL database encryption with automatic TDE and key rotation control. For more information, see Data encryption in SQL database and Customer-managed keys for Fabric workspaces.
October 2025 Spark Connector for SQL databases (Preview) Spark Connector for SQL databases lets Spark read and write to Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VM, and Fabric SQL databases with built‑in authentication and PySpark support. For more information, see Spark connector for SQL databases documentation.
October 2025 Extending Point-in-Time Retention from 7 to 35 Days Point-in-time backup retention in Fabric SQL Database has been extended from 7 to 35 Days, allowing recovery to any point in the last 35 days. For more information, see Restore from a backup in SQL database.

For older updates, review the Microsoft Fabric What's New archive.

SQL database in Microsoft Fabric samples and guidance

Month Feature Learn more
November 2025 AI functions available in preview AI functions dealing with external models, chunks, and embeddings are now available in preview. For more information, see AI functions (Transact-SQL).

Fabric Data Warehouse

This section summarizes recent improvements and features for Fabric Data Warehouse.

Month Feature Learn more
December 2025 Automate Warehouse & SQL analytics endpoint deployment Learn more about how to Automate warehouse and SQL analytics endpoint deployment, with patterns to script, validate, and orchestrate item creation and cross-item dependencies today, and previews native deployment capabilities coming to Fabric.
November 2025 Large string and binary values in Fabric Data Warehouse and SQL analytics endpoint for mirrored items (Generally Available) Support for VARCHAR(MAX) and VARBINARY(MAX) lets you ingest, store, and query large text and binary data without truncation in Fabric Data Warehouse and SQL analytics endpoints for mirrored items, with size limits varying by source. For more information, see Data types.
November 2025 dbt Job in Fabric Data Factory (Preview) A dbt Job in Fabric Data Factory lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance via Entra ID and SQL security policies. For more information, see dbt job in Microsoft Fabric (preview).
November 2025 Warehouse data clustering (Preview) Data clustering is a technique used to organize and store data based on similarity. Data clustering improves query performance and reduces compute and storage access costs for queries by grouping similar records together. For more information and to get started, see Data clustering documentation and Use data clustering in Fabric Data Warehouse.
November 2025 Warehouse IDENTITY columns (Preview) IDENTITY columns automatically produce unique values for each new row, eliminating the need for manual key assignments and eliminating the risk of key duplication and key integrity issues. For more information and to get started, see IDENTITY columns and Use IDENTITY columns to create surrogate keys. You can also learn how to Migrate to IDENTITY columns in Fabric Data Warehouse.
November 2025 Warehouse snapshots Warehouse snapshots, now generally available, are a point-in-time, read-only representation of your data warehouse. You can create a snapshot of your warehouse at any point in the past 30 days, connect to it and query it just like a warehouse, and "roll forward" your snapshot regularly. To get started, see Create and manage a warehouse snapshot.
November 2025 Default Semantic Models retirement By November 30, 2025, all Power BI default semantic models are disconnected from their item and become independent semantic models. You can retain them if you still use them for reports or dashboards or delete them safely if they are no longer needed. For more information, see Blog: Decoupling Default Semantic Models for Existing Items in Microsoft Fabric.
October 2025 SSMS 22 + Fabric Data Warehouse The new SSMS 22 Preview adds improved Fabric Data Warehouse integration with workspace-based connection names, schema-based object grouping, warehouse snapshots support, and context-aware menus.
October 2025 Query and ingest JSONL files (Generally Available) You can query and ingest JSONL files in a warehouse or a SQL analytics endpoint, now generally available. OPENROWSET(BULK) enables scalable reading and ingestion of JSONL files.
October 2025 Outbound Access Protection Outbound Access Protection now applies to Fabric Data Warehouse (in Preview) and SQL analytics endpoint (GA) items, enforcing workspace-level rules for outbound connections. Outbound Access Protection strengthens governance, reduces risk, and ensures only trusted sources are used for data loads and queries. For more information, see Workspace outbound access protection.
October 2025 OneLake Security on the SQL Analytics Endpoint OneLake Security (preview) enables centralized, fine-grained access control for the SQL analytics endpoint, including roles, RLS, and CLS policies. For more information, see OneLake Security for SQL analytics endpoints and OneLake security overview.
October 2025 External data materialization External data materialization can ingest and materialize external files as tables for optimized analytics and performance. For more information, see Create table from file and Browse file content with OPENROWSET.

For older updates, review the Microsoft Fabric What's New archive.

Fabric Data Warehouse samples and guidance

Month Feature Learn more
November 2025 Ingest data with OPENROWSET Ingest files into your Fabric Data Warehouse using the OPENROWSET function with schema inference, partition and metadata reading, and inline filtering.
October 2025 Simplifying file access in OPENROWSET using data sources and relative paths (Preview) You can access Lakehouse and ADLS files in OPENROWSET using data sources and relative paths, making SQL queries easier and more maintainable. For more information, see CREATE EXTERNAL DATA SOURCE.
October 2025 Resolving Write Conflicts in Fabric Data Warehouse The blog Resolving Write Conflicts in Microsoft Fabric Data Warehouse explains snapshot isolation, write-write conflicts, and new compaction preemption to improve concurrency.
October 2025 Understanding Locking and DDL Blocking Understanding Locking and DDL Blocking in Microsoft Fabric Data Warehouse explains table-level locking, DDL blocking, and best practices for managing concurrency in Fabric Data Warehouse.
October 2025 Understanding Locking and DDL Blocking The blog post Understanding Locking and DDL Blocking in Microsoft Fabric Data Warehouse explains table-level locking, DDL blocking, and best practices for managing concurrency in Fabric Data Warehouse.

Fabric Mirroring

This section summarizes recent improvements and features for Mirroring in Microsoft Fabric.

Month Feature Learn more
December 2025 Staging for Mirroring for Google BigQuery (Preview) Staging for BigQuery mirroring (Preview) accelerates initial replication by loading data through a staging layer before applying CDC, improving speed and reliability for large datasets. For more information, see Mirrored databases from Google BigQuery and Tutorial: Set up mirroring for Google BigQuery.
November 2025 SAP Datasphere Mirroring and Copy Job support (Preview) SAP Connectivity in Microsoft Fabric now supports Mirroring for SAP Datasphere and Copy Job support for SAP Datasphere as preview features.
November 2025 Cosmos DB Mirroring (GA) Both Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring are now generally available in Microsoft Fabric. For more information, see Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring (Generally Available).
November 2025 SQL Server 2025 Mirroring (GA) SQL Server 2025 is now generally available, along with SQL Server Mirroring. For more information, see Mirroring for SQL Server in Microsoft Fabric (Generally Available).

For older updates, review the Microsoft Fabric What's New archive.

Fabric Mirroring samples and guidance

Month Feature Learn more
November 2025 Mirroring: Uploading your CSVs Open Mirroring improvements for CSV files remove the primary key requirement and automatically insert updates into existing mirrored tables in OneLake, with optional primary key and __rowMarker__ for advanced change tracking. For more information, see Open mirroring.

Graph in Microsoft Fabric

This section summarizes recent improvements and features for Graph in Microsoft Fabric.

Month Feature Learn more
October 2025 Graph in Microsoft Fabric (Preview) Graph in Microsoft Fabric is now in preview, providing native graph data management, analytics, and visualization capabilities. For more information, see Graph documentation.

Real-Time Intelligence in Microsoft Fabric

This section summarizes recent improvements and features for Real-Time Intelligence in Microsoft Fabric.

Month Feature Learn more
November 2025 Azure Monitor to Fabric Eventhouse (Preview) Azure Monitor to Fabric Eventhouse (Preview) lets you route VM telemetry via Azure Monitor Agent and Data Collection Rules into Eventhouse for schema‑managed ingestion, ad hoc queries, time‑series analytics, and activation. For more information, see Send virtual machine client data to Fabric and Azure Data Explorer (Preview).
November 2025 Fabric Activator integration in Fabric User Data functions (Preview) Fabric Activator integration with Fabric User Data functions (preview) means you can create functions to process events from any source, including Fabric events and OneLake events. For more information, see Trigger Fabric items.
November 2025 Geospatial Intelligence with Esri's ArcGIS Maps Workload (Preview) Esri's ArcGIS Maps Workload (Preview) can visualize, analyze, and share geospatial insights with OneLake integration, Spark‑based processing, Power BI embedding, and smart mapping features. For more information, see Microsoft Fabric Workload Hub. To get started, Create a map (preview).
November 2025 Eventstream Activator destination (Generally Available) Fabric Eventstream supports the Activator destination for processing and transforming events with business requirements before routing the events to the destination. With Eventstream Activator destination, you can detect important patterns in your live data and trigger the right action automatically—no code required.
November 2025 Fabric Capacity overview events in Real-Time Hub (Preview) Fabric Capacity Events in Real-Time Hub (Preview) adds real-time capacity summary and state events so you monitor health, detect throttling, and trigger actions using Activator, Eventstream, and dashboards.
November 2025 Maps in Real-Time Intelligence (Preview) Maps in Microsoft Fabric combine spatial context, real-time data, and your own imagery files, such as Cloud Optimized GeoTIFF (COG) and Raster PMTiles, in addition to vector spatial formats. Data labeling settings are also now available for all geometry types—points, lines, and polygons—reflecting your feedback. To get started, Create a map (preview).
November 2025 Eventstream supports sourcing events with schema from an EventHub Source (Preview) Fabric Eventstream now supports sourcing events from an EventHub source while enforcing schema on the payloads.
November 2025 MongoDB CDC Eventstream source Fabric Eventstream now supports MongoDB Change Data Capture (CDC) as a fully managed connector. To get started, see Add MongoDB CDC source to an eventstream (preview).
November 2025 Entity diagram in Eventhouse KQL database (Preview) Entity diagram in Eventhouse KQL database (Preview) adds a visual entity diagram for exploring tables, relationships, data flow, and schema violations in Eventhouse KQL databases. For more information, see View an entity diagram in KQL database (preview).
October 2025 Eventhouse Endpoint for Lakehouse The Eventhouse Endpoint for Lakehouse enables fast real-time querying and advanced analytics on Lakehouse tables using the Eventhouse endpoint. For more information, see Eventhouse overview.

For older updates, review the Microsoft Fabric What's New archive.

Real-Time Intelligence samples and guidance

Tip

Use the Real-Time Intelligence end-to-end sample solution to automatically create a collection of sample components.

Month Feature Learn more
November 2025 *Introducing the HTTP and MongoDB CDC Connectors for Eventstream HTTP and MongoDB CDC connectors for Eventstream add a no‑code HTTP source and a MongoDB CDC source, so you can stream public APIs and database changes into Real‑Time Intelligence. For more information, see Add HTTP source to an eventstream and Add MongoDB CDC source to an eventstream.
November 2025 Copilot assisted real time data exploration (Preview) Copilot assisted real time data exploration (Preview) lets you ask natural‑language questions about live Real‑Time Dashboard tiles and KQL tables, refine visuals, and save insights without writing queries.
November 2025 Improving operational efficiency with operations agents in Real-Time Intelligence Operations agents in Real-Time Intelligence can monitor Eventhouse data, infer goals, and recommend actions via Teams with Power Automate integrations to keep you in the loop while automating when desired.
July 2025 From Signals to Insights: Building a Real-Time Streaming Data Platform with Fabric Eventstream Learn how Contoso uses MQTT sensors, public weather feeds, and Fabric Real-Time Intelligence to monitor smart buildings.

IQ (preview)

This section summarizes recent improvements and features for the new IQ (preview) workload.

Month Feature Learn more
November 2025 Introducing Fabric IQ Fabric IQ, a new semantic foundation within Microsoft Fabric. Fabric IQ is not a replacement for your data estate; it's a force multiplier for every investment you've already made. For more information, see Fabric IQ: The Semantic Foundation for Enterprise AI and From Data Platform to Intelligence Platform: Introducing Microsoft Fabric IQ.
November 2025 Ontology (preview) item The ontology (preview) item lets you define entity types, relationships, properties, and other constraints to organize data according to your business vocabulary. For more information, see What is ontology (preview)?

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