{"data":[{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Quickly identify when and where throttling is occurring across your Eventhouse system. This feature highlights recent throttling events, helping you diagnose performance bottlenecks and take corrective action before they impact users.","feature_name":"show Throttling events of eventhouse at Eventhouse WS monitoring","last_modified":"2026-05-31","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"2d60a7e8-b555-f011-877a-00224804ca88","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Introducing Graph in Microsoft Fabric \u2013 Connected Data for the Era of AI","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/graph-in-microsoft-fabric","feature_description":"Fabric Graph integrates with Fabric Data Agent and supports NL2GQL, enabling users to ask questions about graph data in natural language. Queries are translated into GQL, executed against the graph, and returned as grounded results. Users can inspect the executed query or navigate back to the graph experience for deeper exploration. This capability allows Fabric Graph to participate directly in agent driven and Copilot scenarios while maintaining transparency and trust.","feature_name":"Fabric Graph makes connected data accessible through natural language data agents","last_modified":"2026-05-28","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q2 2026","release_item_id":"3fc4034c-2302-f111-8406-000d3a36696c","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Extensibility Toolkit: Publishing Workloads announcements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fabric-extensibility-toolkit-publishing-workloads-announcements","feature_description":"The Fabric Extensibility Toolkit (FET) will offer comprehensive CI/CD support for all Fabric items build with the Framework. This will address a main feedback from customers that want to leverage for all their items that are part of a workspace.","feature_name":"Fabric Extensibility Toolkit - CI/CD support for all items","last_modified":"2026-05-28","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"eeae4859-c029-f011-8c4e-0022480939f0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing Fabric MCP (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-fabric-mcp-public-preview","feature_description":"We're launching the public preview of Fabric Remote MCP -- a secure, cloud-hosted execution engine that lets AI agents and automation tools perform authenticated actions in Fabric using a standardized protocol. This eliminates the need for custom integrations and enables seamless automation of tasks like workspace provisioning and item deployment. It's a major step toward an AI-native Fabric experience.","feature_name":"Fabric Remote MCP (Public Preview)","last_modified":"2026-05-28","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"d569f830-2abb-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing the Microsoft Fabric Extensibility Toolkit","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-the-microsoft-fabric-extensibility-toolkit","feature_description":"Items built with the Fabric Extensibility Toolkit can now pick up and resolve Variables, allowing them to dynamically adapt to the context in which they run. When a user opens an Item, the Item automatically evaluates any referenced Variables--such as workspace metadata, user-provided parameters, or environment-specific values--and replaces them with their resolved results. This enables Items to behave consistently across different workspaces and scenarios, while still responding to variable-driven configuration.","feature_name":"Fabric Extensibility Toolkit - Variable support","last_modified":"2026-05-28","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"5d62411a-20db-f011-8544-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Extensibility Toolkit: Publishing Workloads announcements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fabric-extensibility-toolkit-publishing-workloads-announcements","feature_description":"The Fabric Extensibility Toolkit (FET) now supports CRUD Notifications, achieving full parity with the Workload Development Kit (WDK) and closing a critical gap by adding remote job capabilities. This enhancement enables developers to manage create, read, update, and delete operations with real-time notifications while orchestrating remote execution scenarios seamlessly. By aligning with WDK's lifecycle management and introducing remote job handling, FET empowers teams to build responsive, distributed solutions across Fabric workspaces without additional backend complexity.","feature_name":"Fabric Extensibility Toolkit - Workload Development Kit parity","last_modified":"2026-05-28","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"3bf3fb7e-b5b9-f011-bbd2-0022480a2ecf","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"New in Microsoft Fabric: Empowering Workspace Admins with Direct Workload Assignment","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-in-microsoft-fabric-empowering-workspace-admins-with-direct-workload-assignment","feature_description":"Workload Management Admin API - Public PreviewTenant administrators can now manage extensibility workloads using the new Workload Management Admin API.Key CapabilitiesList workloads - List all available extensibility workloads for assignmentList assignments - View current workload assignments in the tenant across scopesAdd workload assignment - Assign workloads at tenant, capacity, or workspace scopeDelete workload assignment - Remove workload assignments","feature_name":"Fabric Extensibility Toolkit - Workload Management Admin API","last_modified":"2026-05-28","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"84cab79e-89ba-f011-bbd3-6045bd05dd14","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Easily load Fabric OneLake data into Excel \u2014 OneLake catalog and Get Data are integrated into Excel for Windows (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/easily-load-fabric-onelake-data-into-excel-onelake-catalog-and-modern-get-data-are-integrated-into-excel-for-windows-preview","feature_description":"The OneLake catalog integration in Excel as part of modern Get Data unlocks seamless connectivity to Fabric data, empowering every business user to discover and analyze organizational content directly from Excel. This powerful capability simplifies data access and accelerates insights, making Excel a true gateway to Fabric's rich data ecosystem.","feature_name":"Fabric OneLake catalog in Excel Get Data","last_modified":"2026-05-27","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q3 2026","release_item_id":"d2e07536-32b3-f011-bbd3-00224808fcf0","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Real-Time Analytics Integrates with Newly Announced Database Watcher for Azure SQL","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-database-watcher-for-azure-sql-and-its-integration-with-fabric-real-time-analytics","feature_description":"Integration on Fabric SQL DB in Workspace Monitoring.","feature_name":"Fabric SQL DB in Workspace Monitoring","last_modified":"2026-05-27","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"Q3 2026","release_item_id":"2e315574-8c31-f011-8c4d-00224804b6c3","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Fabric IQ: The Semantic Foundation for Enterprise AI","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-fabric-iq-the-semantic-foundation-for-enterprise-ai","feature_description":"Synthetic AI engineers for Industrial Operations that help users automate routine tasks so human engineers can bring their ingenuity to creative and complex challenges.Its industrial semantics, ontologies, physics aware models and purpose built agents supply the understanding that turns raw data into  industrial grade operational intelligence using RTI on Fabric as the backbone. Eventstreams capture and transform data at massive scale, eventhouse delivers fast and flexible analytics and OneLake ensures that context is unified and discoverable.","feature_name":"Intuigence AI","last_modified":"2026-05-27","product_id":"94e84e43-aa69-f011-bec2-00224804b6c3","product_name":"Fabric Ecosystem","release_date":"Q2 2026","release_item_id":"6a3dbbe1-9d00-f111-8406-6045bd0a886d","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"This feature allows users to create property definitions without immediately selecting a data type or binding to a data source. Users can define high-level business concepts first and assign data types later when real data is bound, at which point the entity type updates automatically. This flexibility lets users model concepts early without needing to know data types or source details upfront.","feature_name":"Modeling Untyped Properties","last_modified":"2026-05-27","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q2 2026","release_item_id":"dbfb5522-a703-f111-8406-6045bd00f798","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Announcing backup storage billing for SQL database in Microsoft Fabric: what you need to know","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-backup-storage-billing-for-sql-database-in-microsoft-fabric-what-you-need-to-know","feature_description":"Users should be able to restore a database from backups of a deleted database in their workspaces.","feature_name":"Fabric SQL - Restore of deleted databases","last_modified":"2026-05-27","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"Q2 2026","release_item_id":"49834652-a41b-f011-9989-000d3a34671f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Unlocking financial insights with Capital Markets DataHub workload\u2014A partner-led innovation in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/unlocking-financial-insights-with-capital-markets-datahub-workload-a-partner-led-innovation-in-microsoft-fabric-preview","feature_description":"Financial Fabric provides a comprehensive set of data assets from 200+ sources to help fund managers, institutional investors and others in capital markets make smarter decisions quickly.  With Financial Fabric in Microsoft Fabric, users can easily brownse and consume financial data directly in Fabric Warehouse, Power BI or operationalize it using Data Agents and Copilot. There are 3 key features the workload offers:1. Data Discovery - Offers a browsable catalog of 200 + data assets from Capital Market data providers organized using a detailed financial taxonomy.2. Data Delivery - Offers normalized canonical models that are secure, governed and meet financial services regulatory compliance, so it is AI ready.3. Data Interaction - With data in OneLake users can access the data via Excel, Fabric Notebooks, Power BI or Datahub Chatbot experience.","feature_name":"Financial Fabric - Capital Markets Data Hub","last_modified":"2026-05-27","product_id":"94e84e43-aa69-f011-bec2-00224804b6c3","product_name":"Fabric Ecosystem","release_date":"Q1 2026","release_item_id":"7946a34c-8d00-f111-8406-000d3a36696c","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"How Stibo Systems\u2019 MDM powers trusted data for analytics and AI in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/how-stibo-systems-mdm-powers-trusted-data-for-analytics-and-ai-in-microsoft-fabric-preview","feature_description":"Stibo's **DaaS workload **exposes its multi-domain Master Data Management (MDM) capabilities as a service within Microsoft Fabric, enabling customers to consume trusted master data directly inside their analytics and AI workflows. This includes product, customer, supplier, and other core enterprise domains, delivered as governed, curated datasets rather than raw exports.Product Features1. Fabric-Native Data Access via OneLake - Customers can materialize governed master data in OneLake and use the data for both BI and AI use-cases2.Configurable Data Export & Synchronization - Ability to select specific master data, denormalize data, managaging update frequecy enabling self-service data provisioning which preserving the governance model in the MDM system3.AI enriched master data - Automated product description generation, intelligent data quality recommendations and corrections. 4. Unified Analytics via Power BI - Leveraging the full Power BI co-pilot capabilities.","feature_name":"Stibo Master Data Management","last_modified":"2026-05-27","product_id":"94e84e43-aa69-f011-bec2-00224804b6c3","product_name":"Fabric Ecosystem","release_date":"Q1 2026","release_item_id":"4660613a-9d00-f111-8406-6045bd0a886d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Custom SQL Pools for Fabric Data Warehouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/custom-sql-pools-for-fabric-data-warehouse-preview","feature_description":"Custom SQL Pools will provide user managed workload isolation boundaries as well as the ability to control the burstable capacity limit.","feature_name":"Custom SQL Pools","last_modified":"2026-05-27","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q1 2026","release_item_id":"bfdf06d7-6166-ef11-bfe3-0022480abf3c","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Evaluate Power Query Programmatically in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/execute-power-query-programmatically-in-microsoft-fabric","feature_description":"Modern Get Data offers highly intuitive methods for users to connect to their data from a wide range of data sources. By integrating Modern Get Data with Power BI Desktop, users will also be able to easily discover and consume data stored in Fabric via the OneLake Catalog which is now deeply integrated within the Modern Get Data experience. This Modern Get Data experience facilitates an efficient process for importing data into Power BI reports to enable self-service data analytics.","feature_name":"Power Query - Modern Power Query Get Data in Power BI Desktop","last_modified":"2026-05-23","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q2 2026","release_item_id":"ecdec705-121b-f011-9989-6045bd03a542","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The SQL database definition includes the objects that reside in the database, but the multi-dimensional nature of a database results in a requirement for additional actions during deployment. SQL database projects include a feature for incorporating open-ended T-SQL scripts for execution before and after the database deployment. Pre-deployment and post-deployment scripts unlock data cleaning before deployment, reference data management, and other advanced scenarios for CI/CD.","feature_name":"Pre-/post-deployment scripts in CI/CD","last_modified":"2026-05-22","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"Q2 2026","release_item_id":"1970e369-b3d6-f011-8544-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Fabric Data Warehouse will introduce T-SQL functions for pattern matching, text extraction, and transformation using regular expressions. These capabilities will make it easier to validate, search, and manipulate text data directly within your queries.New functions include:* REGEXP_LIKE - Returns a Boolean indicating if the text matches the regex pattern.* REGEXP_REPLACE - Replaces occurrences of a regex pattern with a specified string.* REGEXP_SUBSTR - Extracts parts of a string based on a regex pattern, including Nth occurrence.* REGEXP_INSTR - Returns the position (start or end) of a matched substring.* REGEXP_COUNT - Counts how many times a regex pattern occurs in a string.* REGEXP_MATCHES - Returns a table of captured substrings matching the regex pattern.* REGEXP_SPLIT_TO_TABLE - Splits a string into rows using a regex delimiter.","feature_name":"Regular expressions","last_modified":"2026-05-21","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q3 2026","release_item_id":"aceeae17-dfb8-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Fabric Data Warehouse will introduce string similarity and comparison functions based on Levenshtein and Jaro-Winkler algorithms. These functions make it easier to find strings that are similar, even when they have small changes or spelling errors.New functions that will be added are:* EDIT_DISTANCE - Returns the number of edits (insertions, deletions, substitutions) needed to transform one string into another.* EDIT_DISTANCE_SIMILARITY - Calculates a similarity score (0-1) based on Levenshtein distance, where 1 means identical strings.* JARO_WINKLER_DISTANCE - Measures the distance between two strings using the Jaro-Winkler algorithm, considering transpositions and common prefixes.* JARO_WINKLER_SIMILARITY - Returns a similarity score (0-1) using Jaro-Winkler, optimized for short strings and minor typos.","feature_name":"Fuzzy string matching","last_modified":"2026-05-21","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q2 2026","release_item_id":"9b0e4fae-ecb8-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Announcing Shortcut Transformations: from files to Delta tables. Always in sync, no pipelines required.","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-shortcut-transformations-from-files-to-delta-tables-always-in-sync-no-pipelines-required","feature_description":"With the upcoming enhancements to Shortcut Transformations, you'll be able to fully customize how you bring in data from CSV, Parquet, JSON, and Excel files. You can set file encoding, choose custom quote or escape characters for your data in case of CSV files. For CSV, Parquet and JSON files, you'll have options to decide refresh mode (Append Only or Mirror) and schema mode (Dynamic or Fixed).  All these controls will be available directly in the user interface, giving you more flexibility, reliability, and efficiency in managing your data ingestion and transformation workflows.","feature_name":"Shortcut Transformations - Customize ingestion with user configurations","last_modified":"2026-05-20","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q2 2026","release_item_id":"bc53aecb-f0ba-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"","feature_name":"Outbound Access Protection for EventHouse","last_modified":"2026-05-19","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q2 2026","release_item_id":"a1ffca4a-6cb9-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Updates to default data destination behavior in Dataflow Gen2","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/updates-to-default-data-destination-behavior-dataflow-gen-2","feature_description":"A commonly requested new capability for Output Destinations is the ability to merge, or upsert, data into previously loaded rows in the destination table. We aim to provide this support for Fabric Lakehouse destination.","feature_name":"Dataflows - Merge/Upsert Support for Output Destinations","last_modified":"2026-05-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"67d0f235-4521-f011-9989-6045bd030c4d","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The scaled canvas UX focuses on delivering a more consistent and scalable UX that supports advanced ontology configurations. Current workflows are fragmented and limit discoverability, making it harder for users to manage ontologies effectively. The scaled design features unified navigation, scalable and expandable elements, and better interaction patterns for clearer entities, relationships, rules, and more. This approach is grounded in user research, where participants responded positively to the navigation and ontology visualization, with feedback on specific pain points incorporated into iterative improvements.","feature_name":"Scaled Configuration Canvas","last_modified":"2026-05-14","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q2 2026","release_item_id":"b126ea44-39d5-f011-8544-000d3a30273e","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Run Spark Job Definitions in Pipelines with Service Principal or Workspace Identity","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/run-spark-job-definitions-in-pipelines-with-service-principal-or-workspace-identity","feature_description":"When automating your Fabric Data Factory pipelines, you will greatly benefit from having the flexibility to set the identity (i.e. user, SPN, workspace identity) of the pipeine at the time of execution. With this feature, you can now set it easily from the scheduler API and scheduler UI.","feature_name":"Pipelines - Set the "Run As" identity of the pipeline from the pipeline schedule","last_modified":"2026-05-13","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"99108f89-076f-f011-bec2-00224804b6c3","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"BULK INSERT in Fabric Data Warehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/bulk-insert-statement-in-fabric-datawarehouse","feature_description":"Fabric Data Warehouse will support the bcp utility and the TDS Bulk Load API, enabling high-performance data ingestion from a variety of client tools such as bcp, SSIS, and Azure Data Factory. This integration simplifies bulk data loading into Fabric DW and supports scalable, efficient workflows. Centralized support for these APIs ensures consistency across ingestion pipelines and improves interoperability with existing tools.<br/>An example of a bcp command that loads file content into a DW table:<br/>```bcp dbo.artists in gold_artist.txt -d TextDW -c -S myworkspace.datawarehouse.fabric.microsoft.com -G -U theuser@microsoft.com ```","feature_name":"BCP","last_modified":"2026-05-13","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q2 2026","release_item_id":"d58f4693-ca80-ef11-ac21-6045bd062aa2","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Inline Scalar user-defined functions (UDFs) in Microsoft Fabric Warehouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/inline-scalar-user-defined-functions-udfs-in-microsoft-fabric-warehouse-preview","feature_description":"Computation-based scalar UDFs now support WHILE loops, multiple RETURN statements and deeply nested IF-THEN-ELSE blocks in the function body. They can also be used in queries that include Common Table Expressions (CTEs), and within GROUP BY, HAVING, and ORDER BY clauses.","feature_name":"Scalar UDFs - Expanded T-SQL constructs and query shapes for computation-based UDFs","last_modified":"2026-05-13","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q2 2026","release_item_id":"c418b243-333f-f111-88b5-6045bd0a8ec1","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Optimize your storage costs with OneLake storage tiers and lifecycle management (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Optimize-your-storage-costs-with-OneLake-storage-tiers-and/ba-p/5179295","feature_description":"OneLake provides rule-based lifecycle management to help organizations optimize storage costs. 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