{"data":[{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Identify how applications like Activator and QuerySet contribute to Eventhouse activity. Analyze query volume and activity by application and identify unusual spikes to support informed capacity management.","feature_name":"Monitor Eventhouse activity by application","last_modified":"2026-08-05","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q2 2026","release_item_id":"38e581bb-4541-f111-88b5-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Eventhouse Accelerated OneLake Table Shortcuts (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/eventhouse-accelerated-onelake-table-shortcuts-generally-available","feature_description":"You can now join data from OneLake shortcuts in update policies. Use this for dimension lookups, such as enriching ingested fact events with customer, device, or product attributes stored in OneLake shortcut data.The shortcut-backed external table must have Query Acceleration Policy enabled, and Hot duration must cover all data.","feature_name":"Eventhouse Update Policies referencing Accelerated Shortcuts","last_modified":"2026-08-04","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"a144449e-0780-f111-ab0f-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"List slicer with drop down mode and advanced search options.","feature_name":"List slicer with dropdown mode","last_modified":"2026-07-31","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q4 2026","release_item_id":"ba851f2d-d21f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Conditional formatting to be available for series in Power BI visuals. This includes lines, markers, and legends.","feature_name":"Conditional formatting for lines and series/labels in Power BI visuals","last_modified":"2026-07-31","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"853c11fa-d11f-f111-8341-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Announcing Data Clustering in Fabric Data Warehouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-data-clustering-in-fabric-data-warehouse-preview","feature_description":"Data Clustering enables faster read performance by allowing users to specify columns for co-locating data on ingestion and perform file skipping on read.","feature_name":"Data Clustering","last_modified":"2026-07-30","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2026","release_item_id":"5cd4b9a0-1322-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Configurable Data Retention in Microsoft Fabric Warehouse (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Configurable-Data-Retention-in-Microsoft-Fabric-Warehouse/ba-p/5181211","feature_description":"Ability to configure the data warehouse retention between 1 to 120 days;","feature_name":"Configurable Retention between 1-120 days","last_modified":"2026-07-29","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2026","release_item_id":"dfb17dba-0d22-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Resolving Write Conflicts in Microsoft Fabric Data Warehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/concurrency-control-and-conflict-resolution-in-microsoft-fabric-data-warehouse","feature_description":"This feature is part of the concurrency control strategy for Fabric DW. File-level write-write conflict detection is a mechanism designed to prevent two concurrent transactions from modifying the same physical file in a data warehouse at the same time. More precise than table-level detection (which blocks any concurrent changes to the same table).What It Does?Scope: Operates at the file level (e.g., Parquet files in Fabric DW), rather than at the table or row level.Goal: Detect overlapping changes (updates, deletes) to the same file during concurrent transactions.Trigger: When a transaction tries to commit changes, the system checks if any newer manifests indicate modifications to the same file since the transaction started.Lays groundwork for even finer-grained detection (row-level) in later releases.","feature_name":"File-Level write-write conflict detection (Generally Available)","last_modified":"2026-07-29","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2026","release_item_id":"b7e155c6-94bf-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Large string and binary values in Fabric Data Warehouse and SQL analytics endpoint for mirrored items (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/large-string-and-binary-values-in-fabric-data-warehouse-and-sql-analytics-endpoint-for-mirrored-items-general-availability","feature_description":"SQL analytics endpoints of Lakehouses will support large string and binary data using VARCHAR(MAX) and VARBINARY(MAX) types up to 16 MB.","feature_name":"VARCHAR(MAX) support in SQL analytics endpoint of Lakehouses","last_modified":"2026-07-29","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q3 2026","release_item_id":"f4c0ce02-2e61-f011-bec2-000d3a302e4a","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing Planning in Microsoft Fabric IQ: From historical data to forecasting the future","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/introducing-planning-in-microsoft-fabric-iq-from-historical-data-to-forecasting-the-future","feature_description":"Planning in Microsoft Fabric is a native enterprise planning capability that brings budgeting, forecasting, and scenario modeling directly into your data platform--eliminating silos between planning, analytics, and AI.Built into Microsoft Fabric, Planning enables business and data teams to collaboratively create, manage, and refine plans on top of governed, real-time data--powering faster, more informed decision-making across the organization.","feature_name":"Fabric Planning","last_modified":"2026-07-29","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"69db5ef2-7f01-f111-8406-000d3a36696c","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The OpenAI Assistants API that powers the orchestration layer for the Microsoft Fabric data agent is currently scheduled to be shut down by OpenAI on August 26, 2026. After that date, direct calls to the Assistants API will stop working. We are migrating the Data Agent UX and Programmatic experiences to the Responses API","feature_name":"Data Agent Migration to Responses API","last_modified":"2026-07-27","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q3 2026","release_item_id":"e9e7c616-d289-f111-ab0f-6045bd03e6d8","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Announcing Eventhouse Query Acceleration for OneLake Shortcuts (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-query-acceleration-for-onelake-shortcuts-public-preview","feature_description":"On the data exploration front, the new Lakehouse Query Explorer introduces a streamlined, in-context query experience directly within the Lakehouse. Users can write and run Spark SQL queries right from the Lakehouse explorer to quickly discover and analyze data, with intelligent suggestions and real-time error prevention all without needing to navigate to a notebook. Results can be saved as Spark Views, visualized as charts, filtered, sorted, and downloaded, with rich contextual information throughout. When deeper analysis is required, code can be seamlessly promoted into a notebook for more complex processing, bridging the gap between ad-hoc exploration and production-grade data engineering.","feature_name":"Lakehouse Query Window","last_modified":"2026-07-27","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q2 2026","release_item_id":"e5bc7caf-294e-f111-bec7-000d3a376137","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Configure and manage Activator rules directly in Eventstream (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/configure-and-manage-activator-rules-directly-in-eventstream-preview","feature_description":"The new Activator Alert feature in Eventstream allows users to set up alerts in a single step, streamlining the process. With this enhancement, customers can quickly create alerts directly within Eventstream, saving time and reducing complexity.","feature_name":"Eventstream Integrated Activator Alert Setup Experience","last_modified":"2026-07-24","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"3aac4279-ca3d-f111-88b5-6045bd0066ad","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"New Eventstream sources: MQTT, Solace PubSub+, Azure Data Explorer, Weather & Azure Event Grid","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-eventstream-sources-mqtt-solace-pubsub-azure-data-explorer-weather-event-grid","feature_description":"The Azure Data Explorer source connector for Eventstream extends ingestion limits and adds streaming from a custom query, so you can bring Azure Data Explorer data into Microsoft Fabric for further real-time processing.With this capability, you can:- Stream data from Azure Data Explorer into Eventstream.- Use a custom query to select the data you ingest.- Route results to Fabric destinations for downstream analytics.","feature_name":"Azure Data Explorer source connector for Eventstream","last_modified":"2026-07-23","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q1 2027","release_item_id":"34fee3ee-8e3f-f111-88b5-6045bd00f798","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Mirroring for Google BigQuery in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-public-preview-mirroring-for-google-bigquery-in-microsoft-fabric","feature_description":"Mirroring for Google BigQuery enables customers to continuously replicate BigQuery data into Fabric OneLake, making it easier to use BigQuery data with Power BI, data engineering, data science, and AI experiences in Fabric. Customers can bring data from Google BigQuery into the Fabric analytics estate without maintaining separate ETL pipelines for common replication scenarios.","feature_name":"Mirroring - Google BigQuery","last_modified":"2026-07-23","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"e64919b9-5163-f111-a826-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"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":"We're expanding scalar user-defined functions with new capabilities, including INLINE = AUTO, improved error messaging, support for special built-in functions, and CONTINUE/BREAK statements in **computation**-based UDFs.","feature_name":"Scalar User-defined functions (UDFs)","last_modified":"2026-07-21","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2026","release_item_id":"edb33b5b-7f5d-f011-bec2-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Supercharge your real-time data ingestion: What's new in Fabric Eventstream connectors","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Supercharge-your-real-time-data-ingestion-What-s-new-in-Fabric/ba-p/5260314","feature_description":"**Add Data Source Connector for Business Events in Real-Time Hub****Overview**Enable seamless ingestion of Business Events into Real-Time hub Eventstream--making it easier to onboard event producers and unify event streams across systems.**Key Capabilities*** Native Data Source Connectivity: Connect external systems and Fabric workloads as event producers through a unified Real-Time hub experience.* Simplified Event Ingestion: Stream Business Events directly from connected data sources without requiring custom integration layers.* Schema-Aware Mapping: Map incoming data streams to standardized Business Event schemas to ensure consistency across producers and consumers.* Centralized Event Discovery: Surface all ingested Business Events in Real-Time hub for easy exploration, filtering, and subscription.* Seamless Integration with Downstream Consumers: Enable immediate consumption by Eventstream.","feature_name":"Add Data Source Connector for Business Events in Real-Time Hub","last_modified":"2026-07-17","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"ddd81a72-da3d-f111-88b5-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Acquiring Real-Time Data from New Sources with Enhanced Eventstream","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/acquiring-real-time-data-from-new-sources-with-enhanced-eventstream","feature_description":"**Eventstream as a Business Events Publisher from Real-Time Hub****Overview**Enable Eventstream to act as a native publisher of Business Events directly from Real-Time hub--simplifying event creation and allowing users to emit business signals from streaming data with minimal setup.**Key Capabilities*** Native Eventstream Publishing from Real-Time Hub: Create and configure Eventstream publishers directly from the Business Events experience in Real-Time hub.* Seamless Stream-to-Event Mapping: Map incoming data streams to Business Event schemas using built-in mappers to transform raw signals into meaningful business events.* Low-Code Publisher Configuration: Configure publishing logic through UI-driven experiences without requiring custom code or complex infrastructure.* Real-time Event Emission: Continuously publish Business Events from live data streams, enabling downstream consumers to react instantly.* Integrated Publisher Lifecycle: Manage, update, and monitor Eventstream publishers alongside other Business Event producers in a unified experience.","feature_name":"Eventstream as a Business Events Publisher from Real-Time Hub","last_modified":"2026-07-17","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"c8df0463-d93d-f111-88b5-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Expanding Real-Time Intelligence data sources with Cribl source (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/expanding-real-time-intelligence-data-sources-with-cribl-source-preview","feature_description":"The Cribl source for Eventstream allows you to stream data from Cribl Stream into Fabric Eventstream. You can add Cribl as a source to your eventstream to capture, transform, and route real-time events to various destinations in Fabric.","feature_name":"Eventstream connector: Cribl","last_modified":"2026-07-17","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"4ec67f5b-2c82-f111-ab0f-002248085b3f","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing Enhanced Capabilities in Eventstream: Derived Streams, Edit modes, and Smart Routing","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-enhanced-capabilities-in-eventstream-derived-streams-edit-modes-and-smart-routing","feature_description":"**Eventstream as a Business Events Consumer from Real-Time Hub****Overview**Enable Eventstream to natively consume Business Events from Real-Time hub--unlocking real-time processing, transformation, and routing of business signals across Fabric.**Key Capabilities*** Native Eventstream Consumption: Create Eventstream consumers directly from Business Events in Real-Time hub to start processing events in real time.* Real-time Event Processing Pipelines: Build pipelines to ingest, process, and route Business Events with low latency as they are published.* Flexible Transformations & Enrichment: Apply transformations, filtering, and enrichment to Business Events before routing them to downstream systems.* Seamless Routing to Destinations: Deliver processed events to multiple Fabric destinations (e.g., storage, analytics engines, downstream services) for further action.* Integration with Analytics & Actions: Enable scenarios such as real-time insights, anomaly detection, alerts, and automated workflows powered by event data.","feature_name":"Eventstream as a Business Events Consumer from Real-Time Hub","last_modified":"2026-07-17","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"452a8734-da3d-f111-88b5-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Unlocking Real-Time Operational Intelligence: Azure Monitor Logs Integration in Fabric via Eventstream","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/unlocking-real-time-operational-intelligence-azure-monitor-logs-integration-in-fabric-via-eventstream","feature_description":"This integration simplifies the discovery of Azure resource diagnostic logs in Fabric RTI, and automatic creation of Eventstream operators, allowing users to focus more on analysis and less on setup. User can directly feed Azure diagnostic logs into Fabric without any coding, perform comprehensive analysis by combining diagnostic logs with other data sources and gain operational insights that enhance decision-making capabilities.","feature_name":"Route Azure Monitor Diagnostic Logs to Eventstream","last_modified":"2026-07-16","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q1 2027","release_item_id":"9258b059-23a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Build real-time order notifications with Eventstream\u2019s CDC connector","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/build-real-time-order-notifications-with-eventstreams-cdc-connector","feature_description":"Eventstream now makes change data capture (CDC) feeds analytics ready by automatically turning raw change events into structured tables. Developers and analysts can work with change data as if it were regular tables, without interpreting complex CDC semantics. This speeds the development of operational dashboards, event-driven applications, and real-time analytics.With this capability, you can:- Convert raw change events into tables that match the source schema.- Build dashboards and event-driven applications on change data quickly.- React to source changes instantly with minimal setup and maintenance.","feature_name":"Analytics ready for database change capture CDC data in Eventstream","last_modified":"2026-07-16","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q1 2027","release_item_id":"76968352-9a41-f111-88b5-002248085b3f","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing the HTTP and MongoDB CDC Connectors for Eventstream \u2014 Inspired by You","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-the-http-and-mongodb-cdc-connectors-for-eventstream-inspired-by-you","feature_description":"The Eventstream HTTP connector now supports OAuth authentication for external API sources. This lets you stream data from third-party providers that require token-based access, using a secure, standard authentication flow.With this capability, you can:- Authenticate to external APIs with OAuth tokens.- Stream data securely from providers that require token-based access.- Refresh tokens automatically for continuous ingestion.","feature_name":"OAuth support for the Eventstream HTTP connector","last_modified":"2026-07-16","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q1 2027","release_item_id":"714d2deb-263e-f111-88b5-6045bd0066ad","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Terraform Provider for Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/terraform-provider-for-microsoft-fabric-now-generally-available","feature_description":"# Fabric Terraform Provider Changes## New Resources and Data Sources| Feature | Type | Description ||---|---|---|| `fabric_operations_agent` | Data source | Added support for retrieving Operations Agent configuration || `fabric_operations_agent` | Resource | Added support for managing Operations Agent resources || `fabric_data_agent` | Data source | Added support for retrieving Data Agent configuration || `fabric_data_agent` | Resource | Added support for managing Data Agent resources || `fabric_eventstream_destination_connection` | Data source | Added support for retrieving Eventstream Destination Connection configuration || `fabric_eventstream_destination_connection` | Ephemeral resource | Added support for ephemeral Eventstream Destination Connection operations || `fabric_warehouse_sql_audit_settings` | Resource | Added support for managing Warehouse SQL Audit Settings || `fabric_warehouse_sql_audit_settings` | Data source | Added support for retrieving Warehouse SQL Audit Settings |## Enhancements| Feature | Type | Description ||---|---|---|| `shortcut_conflict_policy` attribute in `fabric_shortcut` resource | Enhancement | Added support for configuring shortcut conflict handling behavior || `one_drive_share_point` attribute in `fabric_shortcut` resource | Enhancement | Added support for OneDrive and SharePoint shortcut configuration || `one_drive_share_point` attribute in `fabric_shortcut` data source | Enhancement | Added support for retrieving OneDrive and SharePoint shortcut configuration || `allow_usage_in_user_controlled_code` attribute in `fabric_connection` resource and data source | Enhancement | Added support for controlling usage in user-controlled code scenarios || DataPipeline Execute job type support in `fabric_item_job_scheduler` resource and data source | Enhancement | Added support for scheduling and retrieving DataPipeline Execute job types |## SummaryThis update expands Fabric Terraform provider capabilities with:- New support for Fabric Agents resources and data sources- Eventstream destination connection support- Warehouse SQL Audit Settings management- Enhanced shortcut configuration capabilities- Improved connection configuration controls- Additional DataPipeline job scheduling support","feature_name":"Terraform Provider for Fabric V1.11.0","last_modified":"2026-07-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q2 2026","release_item_id":"ffb33b61-f380-f111-ab0f-6045bd00f506","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Terraform Provider for Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/terraform-provider-for-microsoft-fabric-now-generally-available","feature_description":"# Fabric Terraform Provider Changes## New Resources and Data Sources| Feature | Type | Description ||---|---|---|| `fabric_onelake_data_access_security` | Data source | Added support for retrieving OneLake Data Access Security configuration || `fabric_onelake_data_access_security` | Resource | Added support for managing OneLake Data Access Security configuration || `fabric_mirrored_catalog` | Resource | Added support for managing Mirrored Catalog resources || `fabric_mirrored_catalog` | Data source | Added support for retrieving a Mirrored Catalog || `fabric_mirrored_catalogs` | Data source | Added support for retrieving multiple Mirrored Catalogs |## Enhancements| Feature | Type | Description ||---|---|---|| Tags support in `fabric_item` data source | Enhancement | Added support for retrieving tags associated with Fabric items || Tags support in `fabric_item` resource | Enhancement | Added support for managing tags associated with Fabric items |## SummaryThis update expands Fabric Terraform provider capabilities with:- OneLake Data Access Security management support- Mirrored Catalog resource and data source support- Improved metadata management through Fabric item tag support","feature_name":"Terraform Provider for Fabric V1.12.0","last_modified":"2026-07-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q2 2026","release_item_id":"a01bdd91-f480-f111-ab0f-6045bd00f506","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The Data Agent is now better at selecting the right data source when answering your questions--especially in setups with multiple sources. It more effectively evaluates schema, example queries, and source descriptions to determine the best place to route each request. This leads to more accurate results and fewer misrouted queries across both SQL, Semantic Model, and KQL sources.","feature_name":"Improved Data Agent Routing Across Sources","last_modified":"2026-07-15","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q2 2026","release_item_id":"4493d060-d848-f111-bec7-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Running Apache Airflow jobs seamlessly in Microsoft Fabric","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/running-apache-airflow-jobs-seamlessly-in-microsoft-fabric","feature_description":"Microsoft Fabric Apache Airflow Jobs provided the easiest and quickest way to build enterprise-ready DAGs without any infrastructure requirements. They are based on open-source Apache Airflow and we have now updated our support to version 3.3 of Apache Airflow.","feature_name":"Airflow - Support for Apache Airflow 3.x","last_modified":"2026-07-12","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"e31334da-267e-f111-ab0f-6045bd00f798","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"We are introducing Ontology Health in Microsoft Fabric to help modelers quickly assess whether an ontology is ready for real-world use. With this capability, ontology quality is continuously evaluated across three core areas--foundation, validation, and refinement--ensuring models are structurally sound, properly configured, and operationally ready. With this capability, you can: * Identify structural issues and inconsistencies through foundation checks to ensure the ontology is sound. * Verify required configurations using validation checks to confirm completeness and correctness. * Improve clarity, coverage, and usability with refinement checks for downstream consumption. * Quickly prioritize fixes with results categorized as Critical, Warning, or Information. * Navigate directly to impacted elements with guided actions, enabling faster issue resolution and increased trust in queries, graph experiences, and AI-powered outcomes.","feature_name":"Ontology Health","last_modified":"2026-07-08","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q4 2026","release_item_id":"8a059230-3855-f111-bec7-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Org Apps allows you to easily create different apps for different pruposes with full source control support. In this upcomming release we will close alot of the most requested features and take Org Apps to General Availability.","feature_name":"Org Apps GA","last_modified":"2026-07-08","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q2 2026","release_item_id":"6ebbadfc-1dc5-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Alerting and acting on data from the Real-Time hub","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/alerting-and-acting-on-data-from-the-real-time-hub","feature_description":"**Anomaly Detection Events in Real-Time Hub****Overview**Enable Real-Time hub to surface anomaly detection signals as Business Events--allowing users to monitor, react, and automate responses to unusual patterns in real time.**Key Capabilities*** Anomaly Signals as Business Events: Represent detected anomalies (e.g., spikes, drops, deviations) as standardized Business Events that can be consumed across Fabric.* Real-time Event Monitoring & Alerts: Continuously monitor event streams and trigger anomaly events when defined conditions or thresholds are met.* Customizable Detection Conditions: Configure rules, filters, and thresholds to detect anomalies relevant to specific business scenarios.* Seamless Integration with Consumers: Route anomaly events to Eventstream, Activator, or downstream systems for automated actions and workflows.* End-to-End Event-Driven Automation: Trigger notifications, workflows, or remediation actions automatically when anomalies are detected.","feature_name":"Anomaly Detection Events in Real-Time Hub","last_modified":"2026-07-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q1 2027","release_item_id":"02b2d2a5-ecc0-f011-bbd3-6045bd05dd14","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"**Notebook as a Business Events Publisher from Real-Time Hub****Overview**Enable users to generate and publish Business Events directly from Notebooks using guided experiences in Real-Time hub--combining data exploration, custom logic, and event emission in a single workflow.**Key Capabilities*** Notebook Publisher Creation from Real-Time Hub: Launch and configure Notebooks directly from Real-Time hub to publish Business Events without leaving the experience.* Dynamic Code Generation for Event Publishing: Auto-generate starter code to publish Business Events, reducing setup effort and accelerating development.* Custom Logic + Event Emission: Combine data processing, analytics, and Business Event publishing within a single Notebook workflow.* Schema-Aligned Event Publishing: Use predefined Business Event schemas to ensure published events are consistent and interoperable across the ecosystem.* Integrated Developer Experience: Seamlessly iterate, test, and trigger Business Events from within the Notebook environment.","feature_name":"Notebook as a Business Events Publisher from Real-Time Hub","last_modified":"2026-07-02","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q4 2026","release_item_id":"aa858b30-d73d-f111-88b5-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"**Business Events Selection from Notebook to Create Dynamic Publishing Code****Overview**Enable users to select Business Events directly from within Notebooks and automatically generate publishing code--bridging schema discovery with code-first development in a seamless, guided workflow.**Key Capabilities*** Inline Business Events Selection in Notebook: Browse and select Business Events schemas directly from within the Notebook environment, without switching context.* Dynamic Code Generation: Automatically generate publishing code based on the selected Business Event schema--reducing manual setup and errors.* Schema-Driven Development Experience: Ensure generated code aligns with standardized Business Event definitions, enforcing consistency across publishers.* Pre-configured Publishing Logic: Provide ready-to-run code templates for emitting Business Events, including connection setup and payload structure.* Seamless Edit-and-Run Workflow: Allow users to customize, test, and execute event publishing logic interactively within the Notebook.","feature_name":"Business events selector when publishing events from Notebook","last_modified":"2026-07-02","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q4 2026","release_item_id":"766d62fa-d63d-f111-88b5-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"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 connectors can now reach data sources that sit on-premises or inside a private virtual network. This closes a common gap for enterprises whose databases and message brokers are not exposed to the public internet, letting them stream that data into Microsoft Fabric securely.With this capability, you can:- Connect Eventstream to sources behind a corporate firewall or in a private network.- Keep traffic on private network paths to meet security and compliance needs.","feature_name":"On-premises and virtual network connectivity for Eventstream connectors","last_modified":"2026-07-02","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"efd5c877-8f3f-f111-88b5-6045bd00f798","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Secure data streaming: Custom CA and mTLS in Fabric Eventstream connectors (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/secure-data-streaming-custom-ca-and-mtls-in-fabric-eventstream-connectors-preview","feature_description":"Eventstream messaging connectors now support custom certificate authorities and mutual TLS authentication. This lets enterprises connect to brokers that require certificate-based trust, meeting stricter security requirements for streaming data into Microsoft Fabric.With this capability, you can:- Provide a custom certificate authority for connector trust validation.- Authenticate with mutual TLS for secure two-way connections.- Stream from secured brokers without weakening security controls.","feature_name":"Custom CA and mutual TLS support for Eventstream connectors","last_modified":"2026-07-02","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"e54c5e9c-8f3f-f111-88b5-6045bd00f798","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Announcing low code Automated ML (AutoML) in Fabric Data Science","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-low-code-automated-ml-automl-in-fabric-data-science","feature_description":"Automated Machine Learning (AutoML) enables users to build and deploy machine learning models by automating the most time-consuming and complex parts of the model development process. The General Availability will enable users to simplofy the ML development cycle by using AutoML to automatically select the best algorithms, tune hyperparameters, and generate optimized models based on the input data and desired outcomes.","feature_name":"GA AutoML in Fabric","last_modified":"2026-07-02","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"Q1 2026","release_item_id":"2b64b096-5eb3-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Fabric AI Functions Enhancements (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/29826","feature_description":"AI functions in Fabric will allow notebook users to seamlessly perform tasks like text summarization, translation, classification, sentiment analysis, grammar correction, and more, providing a simplified API for common enrichments and making it easier for users to apply them with fewer lines of code. The functions will be initially available on top of pandas DataFrames and ultimately available via Spark, SQL, and other programming surfaces across Fabric.","feature_name":"AI Functions for LLM-Powered Text Enrichment and Transformation [GA]","last_modified":"2026-07-02","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"Q4 2025","release_item_id":"9f3e8191-53b3-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Accelerate Data Transformation with AI Functions in Data Wrangler (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/accelerate-data-transformation-with-ai-functions-in-data-wrangler","feature_description":"A new suite of AI-powered operations in Data Wrangler will allow users to describe code transformations with natural language and generate the corresponding Python; translate custom Python code into PySpark code; and view high-confidence suggestions for operations based on their working data.","feature_name":"Low-Code AI-Powered Operations in Data Wrangler [GA]","last_modified":"2026-07-02","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"Q3 2025","release_item_id":"053c13db-53b3-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Gain Deeper Insights into Spark Jobs with JobInsight in Microsoft Fabric","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/gain-deeper-insights-into-spark-jobs-with-jobinsight-in-microsoft-fabric","feature_description":"The general availability of the Job Insights Library provides comprehensive visibility into Spark execution by surfacing logs and metrics across queries, jobs, stages, and tasks. Users can not only analyze execution behavior directly within the experience but also download and store driver and executor logs to Lakehouse or other destinations, enabling persistent storage, deeper analysis, and integration with downstream monitoring workflows.","feature_name":"[GA] Job Insights Library","last_modified":"2026-07-01","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q4 2026","release_item_id":"add43c89-3350-f111-bec7-6045bd00fc61","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Announcing the Fabric Apache Spark Diagnostic Emitter: Collect Logs and Metrics","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-the-fabric-apache-spark-diagnostic-emitter-collect-logs-and-metrics","feature_description":"This feature updates the Spark diagnostic emitter to support the upcoming Spark 4.1 release while maintaining full compatibility with existing capabilities, including Log Analytics (legacy and new APIs), Event Hub, and Blob Storage.","feature_name":"Spark Diagnostic Emitter for Spark 4.1","last_modified":"2026-07-01","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q3 2026","release_item_id":"97bef576-3550-f111-bec7-6045bd00fc61","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Visibility into Job Concurrency & QueueingWorkspace users and admins can see all active jobs and their states (running, queued, throttled)Diagnose job delays by identifying concurrency limits or queueing bottlenecksCapacity admins can now monitor job activity across all workspaces based on CU load.Understand overall load and capacity pressure","feature_name":"Display the job concurrency and queueing limits to users as part of workspace settings","last_modified":"2026-07-01","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q3 2026","release_item_id":"1a98d2aa-7bba-f011-bbd2-0022480a2ecf","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Fine-grained ReadWrite access to data with OneLake security (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fine-grained-readwrite-access-to-lakehouse-data-with-onelake-security","feature_description":"Configure write permissions for folders in a lakehouse using OneLake security. With this feature, viewers can be given selective write access to certain folders in the lakehouse enabling teams to write data without having Contributor or higher roles in the workspace.","feature_name":"OneLake security - ReadWrite permission - GA","last_modified":"2026-06-30","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q2 2026","release_item_id":"5d44c899-f7d1-f011-bbd3-00224808fcf0","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"OneLake data access roles APIs announcement","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-data-access-roles-apis-announcement","feature_description":"In addition to the existing bulk API for managing OneLake security roles, we will add a new set of APIs for performing granular actions against roles.Examples include: create a single role, add a single member to a role, etc.","feature_name":"OneLake security granular APIs","last_modified":"2026-06-30","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q2 2026","release_item_id":"5446bfac-7c90-ef11-ac21-002248098a98","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"New Solace PubSub+ Connector: seamlessly connect Fabric Eventstream with Solace PubSub+ (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-solace-pubsub-connector-seamlessly-connect-fabric-eventstream-with-solace-pubsub-preview","feature_description":"Eventstream now provides a Solace PubSub+ source connector, letting you stream events from Solace event brokers into Microsoft Fabric. This adds support for a popular enterprise messaging platform for real-time analytics.With this capability, you can:- Connect Eventstream to Solace PubSub+ brokers.- Stream broker events into Fabric destinations.- Process Solace data with no-code operators and SQL operator.","feature_name":"Solace PubSub+ source connector for Eventstream","last_modified":"2026-06-29","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q4 2026","release_item_id":"953fb7bc-2ca6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Building real-time, event-driven applications on Mirrored Database Change Feeds with Fabric Eventstreams (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Building-real-time-event-driven-applications-on-Mirrored/ba-p/5190893","feature_description":"Eventstream now streams change feed updates from Fabric Mirrored Databases, so you can run real-time analytics on operational data without affecting source systems. It supports Mirrored Database sources that expose Delta change feeds.With this capability, you can:- Stream change feed updates from Mirrored Databases into Eventstream.- Build dashboards, alerts, and automated actions with no-code and SQL tools.- Build event driven applications with change data feed.","feature_name":"Stream processing for Mirrored Database change feeds in Eventstream","last_modified":"2026-06-29","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"d71ecbb9-9b41-f111-88b5-002248085b3f","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Bringing together Fabric Real-time Intelligence, Notebook and Spark Structured Streaming (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/bringing-together-fabric-real-time-intelligence-notebook-and-spark-structured-streaming-preview","feature_description":"Eventstream now integrates with Fabric Spark, letting data engineers and scientists consume and process stream data in notebooks and Spark jobs. This unifies real-time intelligence with Spark in a single end-to-end experience.With this capability, you can:- Discover and consume Eventstream data directly from Fabric notebooks.- Process streaming data with Spark Structured Streaming jobs.- Build real-time analytics and AI applications on live event data.","feature_name":"Easily use Spark Structured Streaming with Fabric Eventstream","last_modified":"2026-06-29","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"294ed21d-9d41-f111-88b5-002248085b3f","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"New Eventstream sources: MQTT, Solace PubSub+, Azure Data Explorer, Weather & Azure Event Grid","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-eventstream-sources-mqtt-solace-pubsub-azure-data-explorer-weather-event-grid","feature_description":"Eventstream now offers a generally available MQTT broker source connector, enabling ingestion from MQTT-based devices and brokers. MQTT is common in Internet of Things scenarios, and this connector brings that telemetry into Microsoft Fabric for real-time analytics.With this capability, you can:- Connect Eventstream to MQTT brokers and devices.- Stream device telemetry into Fabric destinations.- Process and route MQTT events with no-code operators or SQL operators.","feature_name":"MQTT broker source connector for Eventstream","last_modified":"2026-06-29","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"194d37ea-2aa6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Schema Registry: Creating type-safe pipelines using Schemas and Eventstreams (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/schema-registry-creating-type-safe-pipelines-using-schemas-and-eventstreams-preview","feature_description":"Schema registry brings centralized schema management to Fabric Real-Time Intelligence, helping teams enforce data quality across streaming pipelines. It validates incoming events against registered schemas so downstream consumers receive consistent, well-formed data.With this capability, you can:- Register and manage schemas centrally for streaming data.- Validate events against schemas to enforce data quality.- Simplify integration across producers and consumers with shared schemas.","feature_name":"Schema registry for Eventstream","last_modified":"2026-06-29","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"123d1b43-24a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"New Eventstream sources: MQTT, Solace PubSub+, Azure Data Explorer, Weather & Azure Event Grid","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-eventstream-sources-mqtt-solace-pubsub-azure-data-explorer-weather-event-grid","feature_description":"Eventstream now offers a fully supported Apache Kafka source connector, letting you bring events from Kafka topics into Microsoft Fabric for real-time analytics. Kafka is widely used for event distribution, and this connector removes the need for custom ingestion code.With this capability, you can:- Connect Eventstream directly to Apache Kafka topics.- Stream Kafka events into Eventhouse, Lakehouse, and other destinations.- Process and route Kafka events with no-code Eventstream operators or SQL operators.","feature_name":"Apache Kafka source connector for Eventstream","last_modified":"2026-06-29","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q2 2026","release_item_id":"c2142195-8d3f-f111-88b5-6045bd00f798","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"New Eventstream sources: MQTT, Solace PubSub+, Azure Data Explorer, Weather & Azure Event Grid","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-eventstream-sources-mqtt-solace-pubsub-azure-data-explorer-weather-event-grid","feature_description":"Eventstream now provides a generally available Azure Service Bus source connector. 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