{"data":[{"active":true,"blog_title":"Announcing Cosmos DB in Microsoft Fabric Featuring New Capabilities! (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-cosmos-db-in-microsoft-fabric-preview-with-exciting-new-features","feature_description":"Cosmos DB in Fabric allows customers to build operational and analytical workloads in Microsoft Fabric. Leverage the AI-features available in Cosmos DB and take advantage of the innovations in Fabric with SQL queries over JSON data, build real-time intelligence over transactional data, use Cosmos DB as a lightning fast serving layer for Power BI with reverse ETL using Spark, as well as Copilot-powered Microsoft Power BI, -- all without having to stitch together separate services. Cosmos DB in Fabric now includes many new features. For example, build User-Data Functions that connect seamlessly with your Cosmos DB artifacts, use continuous integration and continuous deployment (CI/CD) to manage development, test, and production pipelines. This release leverages Cosmos DB's autoscale for elasticity when you need it, and vector and full-text indexing and search enabled by default to support your AI-enabled workloads. This is a major step toward making operational data readily accessible across the Fabric ecosystem.","feature_name":"Cosmos DB in Fabric","last_modified":"2026-05-08","product_id":"0e17459c-141b-f011-998a-00224804b6c3","product_name":"Cosmos DB","release_date":"2025-11-17","release_item_id":"c0d03300-26a5-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-ga-of-cosmos-db-in-microsoft-fabric-and-cosmos-db-mirroring","feature_description":"Now generally available, Azure Cosmos DB Mirroring in Fabric allows you to seamlessly integrate your existing operational workloads with the analytical capabilities of Microsoft Fabric. Take advantage of the innovations in Fabric with SQL queries over JSON data and build real-time intelligence over your existing transactional data. Integrate with the Microsoft Fabric ecosystem of services, as well as Copilot-powered Microsoft Power BI, -- all without having to stitch together separate services. Azure Cosmos DB Mirroring in Fabric allows you to select which containers to mirror into Fabric, giving you complete control over what data you build analytics on. Get the best of both worlds leveraging the SLA-backed latency and availability you have come to expect from Azure Cosmos DB with Microsoft Fabric's array of analytical services and features, making it even easier now to bring your existing operational data and make accessible across the Fabric ecosystem.","feature_name":"Azure Cosmos DB Mirroring in Microsoft Fabric","last_modified":"2026-05-08","product_id":"0e17459c-141b-f011-998a-00224804b6c3","product_name":"Cosmos DB","release_date":"2025-11-17","release_item_id":"5d4dfe86-26a5-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"To improve clarity and task completion in Real Time hub, we're streamlining the left navigation. Users have reported confusion due to multiple overlapping entry points, making it difficult to locate the right actions for their real-time data workflows. By consolidating and simplifying the left-navigation menu, we aim to reduce cognitive load and help users quickly identify the most relevant entry point for their tasks.","feature_name":"Real-Time hub left-navigation consolidation for Data Sources","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-06-30","release_item_id":"6c8b596e-0c71-f011-bec2-000d3a329ecb","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Introducing Eventhouse Endpoint for Fabric Data Warehouse: Real-Time Analytics, Unified Architecture","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-eventhouse-endpoint-for-fabric-data-warehouse-real-time-analytics-unified-architecture","feature_description":"The Eventhouse endpoint is a powerful feature in Microsoft Fabric that enables users to query tables with exceptional speed and ease. It allows for real-time insights across your data estate, supporting structured, semi-structured, and unstructured data analysis. This endpoint transforms Fabric into a true real-time analytics platform, combining the simplicity of batch analytics with the responsiveness of event streaming. Additionally, it extends the architecture to structured data sources, allowing users to query Fabric Data Warehouse tables in real-time using KQL. Overall, Eventhouse is designed for managing both streaming and batch data, making it a game-changer for large-scale data operations","feature_name":"Eventhouse Endpoint for DWH","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-05-14","release_item_id":"e2e8767a-5df1-f011-8406-6045bd026004","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Introducing Eventhouse Endpoint for Fabric Data Warehouse: Real-Time Analytics, Unified Architecture","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-eventhouse-endpoint-for-fabric-data-warehouse-real-time-analytics-unified-architecture","feature_description":"The Eventhouse endpoint is a powerful feature in Microsoft Fabric that enables users to query tables with exceptional speed and ease. It allows for real-time insights across your data estate, supporting structured, semi-structured, and unstructured data analysis. This endpoint transforms Fabric into a true real-time analytics platform, combining the simplicity of batch analytics with the responsiveness of event streaming. Additionally, it extends the architecture to structured data sources, allowing users to query Fabric Data Warehouse tables in real-time using KQL. Overall, Eventhouse is designed for managing both streaming and batch data, making it a game-changer for large-scale data operations","feature_name":"Eventhouse Endpoint - for Lakehouse","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-05-14","release_item_id":"10d5069c-5df1-f011-8406-6045bd026004","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Simplify Schema Changes in Fabric Data Warehouse with ALTER COLUMN (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blogs/Simplify-Schema-Changes-in-Fabric-Data-Warehouse-with-ALTER/ba-p/5177593","feature_description":"This feature enables users to modify the definition of an existing column in a Fabric DW table, specifically allowing changes to the column's data type and size.https://community.fabric.microsoft.com/t5/Fabric-Updates-Blogs/Simplify-Schema-Changes-in-Fabric-Data-Warehouse-with-ALTER/ba-p/5177593","feature_name":"ALTER COLUMN (Public Preview)","last_modified":"2026-05-07","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-05-05","release_item_id":"be6cef7e-4597-f011-b4cc-6045bd00f9db","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"**Fabric Chargeback app **The** Microsoft Fabric Chargeback app** helps customers understand which teams, users, and workloads are driving capacity usage, enabling them to build chargeback processes that fairly allocate costs based on actual consumption. As a capacity admin, you can view key parameters such as metric types, dates, and operation names, and share the report with others in your organization to support transparent and informed cost management.  Ultimately, this enables admins to:* Understand cost drivers - See which workspaces, users, or artifacts consume the most resources.* Enable accurate chargeback - Distribute costs fairly across departments based on real usage.* Optimize capacity planning - Identify expensive artifacts and adjust capacity assignments or auto-scale settings to control costs.With these insights, admins can make informed decisions about capacity sizing, workload distribution, and budgeting/chargeback--ensuring cost transparency and operational efficiency.","feature_name":"Fabric Chargeback app","last_modified":"2026-05-07","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-05-05","release_item_id":"ba53be36-59b0-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Introducing the Item History Page in Microsoft Fabric Capacity Metrics App (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/26307","feature_description":"**Fabric Capacity Metrics App - Health **The Health page in the Microsoft Fabric Capacity Metrics app is currently in Preview, and some minor updates/enhancements will be made to make it Generally Available.  The page offers a high-level overview of all capacities for which a user is admin, aggregating capacity metrics across a tenant in a way that greatly simplifies the ability to identify capacities that are in need of attention. The page is designed to help capacity administrators quickly identify capacities that are consuming the most compute resources or are experiencing issues such as throttling or query rejections. It also provides a clear view of the health status for key metrics, including data refresh history, error details, and connectivity checks. This helps admins quickly identify issues such as failed refreshes or stale data, understand their root causes, and take corrective actions. By ensuring metrics remain accurate and up-to-date, the Health page supports streamlined decision-making visibility to sustain smoother operations.","feature_name":"Capacity Metrics App - Health","last_modified":"2026-05-07","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-05-05","release_item_id":"b693a00d-5eb0-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Introducing the Item History Page in Microsoft Fabric Capacity Metrics App (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/26307","feature_description":"**Fabric Capacity Metrics Metrics App -  Timepoint Summary & Item Detail **The **Timepoint Summary** and **Item Detail** pages in the Fabric Capacity Metrics app work together to give you a complete view of your metrics at any specific point in time.The **Timepoint Summary** page provides a 30-second snapshot of interactive and background operations ranked by compute impact, measured in Capacity Units (CUs). Visuals like the heartbeat chart show CU activity over a 60-minute window, making it easy to spot peaks and troughs.  Ultimately, admins can use this page to identify which interactive and background operation types had the highest impact on a capacity, and to then take any appropriate actions to ensure capacity health such as avoiding throttling.Drilling deeper, the **Item Detail** page provides a detailed analysis of the operation type within a specific item.  It lists records contributing to CU usage, with filters like Operation ID, User, and CU threshold to improve accuracy when sampling occurs (e.g., when records exceed 100,000 entries). This level of detail is valuable as, for example, scheduled refresh workflows often trigger multiple internal operations which all contribute to capacity consumption and can be drilled down into through this view.Together, these views help you quickly identify capacity hotspots, optimize workloads, and maintain performance.* **Timepoint Summary Page**  provides a summary view of operation types in items that contribute to capacity usage in the 30-seconds time window, ranked by their compute impact measured in Capacity Units (CUs). Admins can use  it to identify which interactive and background operation types had the highest impact on your capacity.* **Timepoint Item Detail Page** drills deeper into individual metrics at that timepoint, showing detailed values, status, and related context. It allows you to investigate specific metrics, understand their behavior, and confirm accuracy for reporting or decision-making.Together, these pages enable organizations to maintain data consistency, monitor progress, and make informed decisions with confidence by offering both high-level summaries and granular insights.","feature_name":"Capacity Metrics App - Timepoint Summary & Detail","last_modified":"2026-05-07","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-05-05","release_item_id":"9d8a208b-5eb0-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Fabric Runtime 2.0 (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/fabric-runtime-2-0-preview","feature_description":"This a new Fabric Runtime 2.0 release based on Spark 4.x and Delta Lake 4.x. Most importantly, it will have Scala 2.13 and will be based on Mariner 3.0 OS.","feature_name":"Fabric Runtime 2.0 - Public Preview","last_modified":"2026-05-07","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"2026-04-30","release_item_id":"74116db5-95ba-f011-bbd3-00224808fcf0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Ontology item exposes an MCP public endpoint for integration first party and 3rd party custom agents from other platforms.","feature_name":"[Ontology MCP Endpoint] Initial Query tools","last_modified":"2026-05-07","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-30","release_item_id":"53e80eeb-efce-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Eventhouse Monitoring (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/eventhouse-monitoring-public-preview","feature_description":"Eventstream Observability is a Fabric feature that integrates Eventstream metrics into Workspace Monitoring, enabling users to gain actionable insights into their Eventstream health and performance metrics. Once enabled in Workspace Settings, Eventstream metrics will be automatically emitted into the Eventhouse database, allowing contributors to easily query, analyze, and visualize performance and diagnostic data.","feature_name":"Eventstream Observability","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-30","release_item_id":"2f67bbdd-cda4-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Operations Agent can use Ontology as a knowledge source and generate its playbook using entity types, properties, relationships as well as rules & actions definied in the Ontology.","feature_name":"[Ontology for Operational Agent] - Ontology integration with Operations Agent","last_modified":"2026-05-07","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-30","release_item_id":"18c74921-f1ce-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"When you give operations agents instructions and create its rules and playbook, it gives feedback when * properties couldn't be grounded with data* actions couldn't be grounded* rule conditions were detected that are unsupported* couldn't detect any rule/condition* duplicate Id columns detectedThis helps you tailor your goals and instructions so the agent learns how you want it to operate.","feature_name":"Better feedback on OA playbook problems","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-24","release_item_id":"d96c5a85-a200-f111-8406-000d3a376c0f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"What\u2019s next for Fabric IQ Ontology: The operational context that powers your AI agents (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/whats-next-for-fabric-iq-ontology-the-operational-context-that-powers-your-ai-agents-preview","feature_description":"Operations agents will be able to use the semantic information in the Fabric IQ ontology as a knowledge source, monitoring the entities and data and taking actions accordingly.","feature_name":"Fabric IQ ontology as operations agent source","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-24","release_item_id":"766c85a9-a100-f111-8406-000d3a376c0f","release_status":"Shipped","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":"You will soon be able to bring your Excel data directly into Fabric Lakehouse Delta tables without extra steps. This feature allows you to select multiple tabs from a single Excel workbook and load them into structured Delta tables. You can preview and align schemas, automatically handle column mapping, and ensure data types remain consistent. The ingestion process is optimized for speed and reliability. With this update, you can transition from familiar Excel workflows to modern lakehouse architecture effortlessly, making analytics faster and collaboration easier.","feature_name":"Shortcut Transformations - Excel to Delta","last_modified":"2026-05-07","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"2026-04-20","release_item_id":"b1f0bc28-efba-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Currently, users can open multiple workspaces simultaneously and switch between them via the navigation bar. However, the order of these workspace icons is fixed based on the sequence in which they were opened.This creates friction for users who frequently multitask across workspaces and want to organize their open items in a way that better reflects their workflow priorities.This feature allows users to reorder open workspace icons in the navigation bar through drag-and-drop interaction, enabling greater control and efficiency in multitasking.","feature_name":"Allow users to reorder open workspaces in the nav bar","last_modified":"2026-05-07","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-04-20","release_item_id":"11114dc9-41ba-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Extending Outbound Access Protection to Fabric Warehouse and SQL Analytics Endpoint","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/extending-outbound-access-protection-to-fabric-warehouse-and-sql-analytics-endpoint","feature_description":"Outbound access protection is one of the top security asks from the Fabric Enterprise customers. Today WS OAP support only limited set of items which limits the adoption of Fabric for Customers. Our aim is to support Mirrored DBs in OAP so that customers can prevent sensitive data from getting exfiltrated.","feature_name":"Outbound access protection for Mirrored DBs","last_modified":"2026-05-07","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-04-20","release_item_id":"1006b113-9eba-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"OneLake File Explorer: Smarter, More Reliable, and Seamlessly Integrated","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-file-explorer-smarter-more-reliable-and-seamlessly-integrated","feature_description":"OneLake file explorer will offer the full support that comes with Generally Availablity (GA). The OneLake file explorer application seamlessly integrates OneLake with Windows File Explorer. This application automatically syncs all OneLake items that you have access to in Windows File Explorer."Sync" refers to pulling up-to-date metadata on files and folders, and sending changes made locally to the OneLake service. Syncing doesn't download the data, it creates placeholders. You must double-click on a file to download the data locally.When you create, update, or delete a file via Windows File Explorer, it automatically syncs the changes to OneLake service. Updates to your item made outside of your File Explorer aren't automatically synced. To pull these updates, you need to right-click on the item or subfolder in Windows File Explorer and select OneLake > Sync from OneLake.","feature_name":"OneLake file explorer GA","last_modified":"2026-05-07","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"2026-04-15","release_item_id":"c265c7b8-09b9-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"SSMS 22 Meets Fabric Data Warehouse: Evolving the Developer Experiences","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/ssms-22-meets-fabric-data-warehouse-evolving-the-developer-experiences","feature_description":"SMS 22.5 introduces the following capabilities for managing Fabric Warehouse:* Create, Delete and rename Fabric Warehouses directly from SSMS* Open Fabric Warehouses and SQL Analytics Endpoints seamlessly in the Fabric web portal","feature_name":"SSMS 22.5 support for Fabric Warehouse","last_modified":"2026-05-07","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-14","release_item_id":"19c79bf9-a6ec-f011-8544-002248096d54","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"ALTER TABLE inside explicit transactions in Fabric Data Warehouse (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/alter-table-inside-explicit-transactions-in-fabric-data-warehouse-generally-available","feature_description":"Treating schema changes as transactional aligns with atomicity and isolation guarantees. If any part of the transaction fails, everything is rolled back, preserving data integrity. This capability is especially useful for automated pipelines and CI/CD workflows, where schema changes must be applied safely and predictably.With this release, Fabric Data Warehouse supports executing the following inside an explicit transaction:ALTER TABLE Add nullable columnsALTER TABLE Drop columnsALTER TABLE Add or drop NOT ENFORCED PRIMARY KEY, UNIQUE, and FOREIGN KEY constraintsExecute multiple ALTER TABLE statements atomicallyALTER distributed temporary tablesIf any operation fails, the entire transaction is rolled back automatically.","feature_name":"ALTER TABLE support inside transactions (Generally Available)","last_modified":"2026-05-07","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-13","release_item_id":"efc9cb1a-4597-f011-b4cc-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Resource Links let you attach resources to the entity types they describe, so insights live alongside the data model that powers them. Starting with Power BI reports, when someone explores an entity in your ontology, they can immediately see the relevant Power BI reports that show how that data is analyzed, monitored, and used without needing to search across tools or guess which report applies.","feature_name":"Resource Links - Link PBI Reports","last_modified":"2026-05-07","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-11","release_item_id":"1bfc0233-f9ce-f011-bbd3-0022480a2ecf","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Extending Outbound Access Protection to Fabric Warehouse and SQL Analytics Endpoint","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/extending-outbound-access-protection-to-fabric-warehouse-and-sql-analytics-endpoint","feature_description":"Outbound access protection is one of the top security asks from the Fabric Enterprise customers. Today WS OAP support only limited set of items which limits the adoption of Fabric for Customers. Our aim is to support Fabric Data Agent in OAP so that customers can prevent sensitive data from getting exfiltrated.","feature_name":"Outbound Access Protection for Data Agent","last_modified":"2026-05-07","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"2026-04-06","release_item_id":"ce75a77c-88ba-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Dataflow Gen2: Variable Library integration in Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/dataflow-gen2-variable-library-integration-in-microsoft-fabric-generally-available","feature_description":"A new variable type is added to Variable library item, which keeps Cloud connection ID,  enforce permissions and brings better experience for parameterize connections in CI/CD as allowing customize connection based on deployment stage.","feature_name":"Variable Library - Connection reference variable type","last_modified":"2026-05-07","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-03-31","release_item_id":"ff58d457-f3b8-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing New Branching Capabilities in Fabric Git Integration","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-new-branching-capabilities-in-fabric-git-integration","feature_description":"When developers want to sync their workspace with the git repo, they want to view the changes made before taking actions.With this feature we will enable viewing the exact changes since the last sync between the workspace and the branch, as well as where those changes are.It will be shown as code compare experience that is familiar to developers. Devs can see what items and files have been changed, see the exact code changes and whether it is in a Fabric workspace, or in the repo.","feature_name":"Git integration - compare code changes","last_modified":"2026-05-07","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-03-31","release_item_id":"fcac4983-f212-f011-9989-000d3a34671f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Manual update for on-premises data gateway (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/manual-update-for-on-premises-data-gateway-public-preview","feature_description":"The on-premises data gateway auto-upgrade feature ensures that the gateway always runs the latest version, providing improved functionality, security updates, and new features without manual intervention. This feature simplifies the management of the gateway by automatically downloading and installing updates as they become available.","feature_name":"Gateways - On-premises data gateway auto-update","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"fbc4cae9-0693-ef11-ac21-6045bd062aa2","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Expanded Data Agent Support for Large Data Sources","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/expanded-data-agent-support-for-large-data-sources","feature_description":"Fabric Data Agent's support for KQL UDFs enables richer, more optimized reasoning over Eventhouse and KQL-backed data sources, improving both accuracy and performance of generated KQL queries. By leveraging governed, reusable functions, the agent can translate natural-language questions into more efficient queries while honoring Fabric's security and schema semantics. This expands the breadth of scenarios the agent can handle, making KQL-based analytics faster and more consistent.","feature_name":"[PuPr] Data Agent to Support Kusto UDF","last_modified":"2026-05-07","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"2026-03-31","release_item_id":"ea64bc96-e805-f111-8406-6045bd0a886d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Copy job Activity\u00a0in pipelines\u00a0(Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/now-in-public-preview-copy-job-activity-in-pipelines","feature_description":"New connectors are planned in Copy job, and Pipeline activities 1. SharePoint Online File (as source and destination)3. Google BigQuery (as destination)4. MySQL (as destination)5. PosgreSQL connector (as destination)","feature_name":"Connector - New connector in Copy Job and Pipeline activities (2H)","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"e6033a7e-029d-f011-b41c-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The Custom Endpoint feature supports Entra ID authentication for both pushing and pulling data to and from Eventstream. 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These APIs power relevancy-ranked search, rich filters, and faceted exploration across items, and are natively available through the Fabric MCP server, enabling AI agents to autonomously discover Fabric content across workspaces.","feature_name":"OneLake catalog - Public APIs","last_modified":"2026-05-07","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-03-31","release_item_id":"7ff0d0de-5020-f011-9989-6045bd030c4d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Mirroring: New Sources and Capabilities to Support Zero -ETL Data Unification","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/whats-new-to-mirroring-new-sources-and-capabilities-for-all-your-zero-etl-needs","feature_description":"Mirroring supports delta change feed that enables fine grain tracking of changes of delta tables to be consumed by downstream applications.","feature_name":"Mirroring - Enabling Delta Change Feed","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"5122feaa-f421-f011-998a-0022480939f0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Set alerts on Real-time Dashboards with Data Activator triggers","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-alerts-over-real-time-dashboards-with-data-activator-triggers-preview","feature_description":"Integrate Activator with Data Warehouse allowing alerting on top of business data quries as well as meta data and perf data.","feature_name":"Activator alerts and rules on top of Data Warehouse queries","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-03-31","release_item_id":"4ffa3a83-f51f-f011-998a-0022480939f0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Secure Data Streaming with Managed Private Endpoints in Eventstream (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-eventstream-private-network-secure-data-streaming-with-managed-private-endpoints-private-preview","feature_description":"Eventstream integration with Managed Private Endpoint for Azure EH and IoT Hub sourcesManaged Private Endpoint is a network security feature of the Fabric platform that allows Fabric items to securely access data sources behind a firewall or not accessible from the public internet. 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By leveraging Graph schemas and NL2GQL, the Data Agent can answer complex questions that require relationship traversal, multi-hop reasoning, and entity-centric insights more naturally and accurately. Fabric Graph integrates seamlessly alongside existing Fabric sources (such as Lakehouse and Eventhouse), allowing the agent orchestrator to select graphs when relational context is critical. This unlocks more intuitive analytical experiences, including plain-English answers with the ability to pivot into visual or interactive graph exploration. 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Purview for AI intends to address these challenges by providing a set of capabilities that enable organizations to monitor, audit, and prevent data loss and risk while their users interact with LLMs from their managed devices.Microsoft Purview enables Copilot and Data Agent to leverage data security, governance, and compliance features in their apps. It provides a smooth integration path to embed data protection capabilities into their workflows, ensuring robust enterprise security, such as:*  Audit: Send prompt and response telemetry along with all associated user and system context to Purview for auditing purposes.*  eDiscovery: Send prompt and response contents, including all associated user and system context, to Purview to support electronic discovery processes.*  Data Lifecycle Management (DLM): Send prompt and response contents with all associated user and system context to Purview to manage the data lifecycle effectively.*  Communications Compliance (CC): Send prompt and response contents, along with all associated user and system context, to Purview to detect and address unethical or improper uses of AI.*  Classification: Send prompt and response contents with all associated user and system context to Purview for classification and store the classification results in compliant storage.","feature_name":"Data Agent Audit logs with Purview","last_modified":"2026-05-07","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"2026-03-31","release_item_id":"2e298f0f-3801-f111-8406-000d3a36696c","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Public APIs \u2013 bulk import and export items definition (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/public-apis-bulk-import-and-export-items-definition-preview","feature_description":"Today, when Importing multiple item definitions, it required multiple API calls, but that requires very deep understanding of how Fabric works in order to make it a successful deployment:- Developer needs to know the order of deployment, based on how items are related to each other.- Developer needs to update the relations of each item, by familiarizing itself with its definition, and swapping the GUIDs of the dependent items.This requires a lot of coding and technical deep dive by developers and its hard to scale. That's why we are building the option to Import multiple items in a single API call. The be benefits of that will be:- a SIngle call to import an subset of items that should be uploaded to a workspace.- Sorting of the order of deployment for that list of items, so users don't need to worry about the order.- In case of LogicalIds are part of the definition of any of the items, the API call will also replace the LogicalId with the proper GUID in the relevant workspace.This should remove a lot of the overhead developers are handling today when trying to build their own custom deployment process in CI/CD.","feature_name":"REST API - Export and import multiple items in a single call","last_modified":"2026-05-07","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-03-31","release_item_id":"26fa1ede-3e23-f011-8c4d-000d3a34671f","release_status":"Shipped","release_type":"Public preview"}],"links":{"first":"/api/releases?release_status=Shipped&page_size=50&page=1","last":"/api/releases?release_status=Shipped&page_size=50&page=15","next":"/api/releases?release_status=Shipped&page_size=50&page=2","prev":null,"self":"/api/releases?release_status=Shipped&page_size=50&page=1"},"pagination":{"has_next":true,"has_prev":false,"next_page":2,"page":1,"page_size":50,"prev_page":null,"total_items":733,"total_pages":15}}