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Microsoft's edit · 29 Sep 05:49 UTC

FabCon EU 2026 Release 9/28 (#16710)

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33 description: Learn about the new features and documentation improvements for Microsoft Fabric.

44 author: WilliamDAssafMSFT

55 ms.author: wiassaf

6 −ms.date: 09/08/2026

6 +ms.date: 09/24/2026

77 ms.update-cycle: 30-days

88 ms.topic: whats-new

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3737

3838 | **Feature** | **Learn more** |

3939 |:-- |:-- |

40 −|**Activator as business events publisher (Preview)**|Activator provides a no-code way to publish business events in Microsoft Fabric. When Activator detects that a condition is met in your data, it can emit a structured business event into Real-Time hub, making that signal discoverable, routable, and consumable by your entire organization. For more information, see [What is Fabric Activator?](../real-time-intelligence/data-activator/activator-introduction.md) and [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

40 +|**Activator as business events publisher (Preview)**|Activator provides a no-code way to publish business events in Microsoft Fabric. When Activator detects that a condition is met in your data, it can emit a structured business event into Real-Time hub, making that signal discoverable, routable, and consumable by your entire organization. For more information, see [What is Fabric Activator?](../real-time-intelligence/data-activator/activator-introduction.md) and [Business events overview](../real-time-hub/business-events/business-events-overview.md).|

4141 |**Advanced DAX generation for semantic models (Preview)**|[Advanced DAX generation for Fabric data agents (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advanced-DAX-generation-for-semantic-models-in-Fabric-data/ba-p/5363136) lets a data agent plan its approach, inspect semantic model values and intermediate results, refine its reasoning, and execute a final DAX query before answering. For more information, see [Fabric data agent runtime](../data-science/data-agent-runtime.md) and [Semantic model best practices for data agent](../data-science/semantic-model-best-practices.md).|

4242 |**Advanced edit for data destination queries in Dataflow Gen2 (Preview)**|You can now use [advanced edit for data destination queries in Dataflow Gen2](../data-factory/dataflow-gen2-advanced-edit-data-destinations.md) to modify destination-side query logic directly in authoring.|

4343 |**AI-assisted Synapse to Fabric migration skills (Preview)**|[AI-assisted Synapse to Fabric migration skills (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/AI-assisted-Synapse-Spark-and-pipeline-migration-to-Microsoft/ba-p/5234478) move Synapse Spark pools, lake databases, notebooks, Spark job definitions, and Data Factory pipelines to Microsoft Fabric from the command line by using REST APIs, with lift-and-shift and migrate-and-modernize paths and a read-only assessment step. For more information, see [Skills for Microsoft Fabric](skills-for-fabric-overview.md).|

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6060 |**Business Events in Real-Time Intelligence (Preview)**|[Business Events (Preview)](https://blog.fabric.microsoft.com/blog/business-events-in-microsoft-fabric-preview?ft=All) capture critical business moments from User Data Functions and Notebooks and enable actions via Activator alerts, custom logic, workflows, AI models, Spark jobs, dataflows, and Power Automate. For more information, see [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

6161 |**Business events persisted into Eventhouse (Preview)**|Eventhouse is enabled by default when you create a business event in Real-Time hub. Each business event maps to a dedicated KQL table in your eventhouse database, and every published event is automatically ingested and retained. For more information, see [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

6262 |**Capacity Operation Events in Real-Time Hub (Preview)**|[Capacity Operation Events in Real-Time Hub (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Operation-Events-in-Real-Time-Hub-Preview/ba-p/5364092) provide operation-level telemetry for capacity consumption, duration, throttling, workspaces, and items. For more information, see [Explore Fabric capacity operation events](../real-time-hub/explore-fabric-capacity-operation-events.md).|

63 −|**Capacity overage (Preview)**|[Capacity overage (Preview)](https://blog.fabric.microsoft.com/blog/introducing-capacity-overage-preview-flexibility-when-you-need-it-most?ft=All) is an opt-in capability that automatically bills for excess capacity usage during compute spikes instead of throttling, with admin-configurable limits per 24-hour window. For more information, see [Capacity overage (preview) in Microsoft Fabric](../enterprise/capacity-overage-overview.md).|

6463 |**Centralized data governance in the OneLake catalog (Preview)**|A new [centralized data governance experience in the OneLake catalog](https://blog.fabric.microsoft.com/blog/fabric-february-2025-feature-summary?ft=All#post-19077-_Toc250850506) is in preview. Data owners can view aggregated insights on the items they created, consider improving their governance by taking recommended actions, and access more information along with all available tools in Fabric.|

6564 |**Change event streaming in SQL database in Fabric (Preview)**|Change event streaming (CES) captures row-level DML changes (inserts, updates, and deletes) in SQL database in Fabric and publishes each change to Fabric Eventstream or Azure Event Hubs in near real time as a CloudEvent, enabling downstream analytics and event-driven architectures with no ETL. For more information, see [Change event streaming overview](/sql/relational-databases/track-changes/change-event-streaming/overview?view=fabric-sqldb&preserve-view=true).|

6665 |**Change Git branch with Contributor role (Preview)**|[Change Git branch with Contributor role](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-July-2026-Feature-Summary/ba-p/5325823#toc-hId-628579680) lets workspace Contributors and Members switch the connected Git branch without workspace Admin permissions. For more information, see [Allow Contributors and Members to switch branches](../cicd/git-integration/git-get-started.md#allow-contributors-and-members-to-switch-branches).|

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8584 |**Data protection: DSPM for AI for Fabric Copilots and data agents (Preview)**|[Data Security Posture Management (DSPM) for AI for Fabric (Preview)](https://blog.fabric.microsoft.com/blog/new-data-protection-capabilities-in-microsoft-fabric-native-security-for-the-modern-data-estate?ft=All) monitors Copilot and data agent interactions to detect sensitive information in AI prompts and responses, investigate risky AI behavior, and apply governance through Purview Audit and eDiscovery. For more information, see [DSPM for AI in Fabric](/purview/ai-copilot-fabric).|

8685 |**Dataflow Gen2 diagnostics download (Preview)**|[Dataflow Gen2 diagnostics download (Preview)](https://blog.fabric.microsoft.com/blog/dataflow-gen2-dataflow-diagnostics-download-preview?ft=All) lets you download run-level diagnostic packages with structured logs and execution details for faster root-cause analysis and support collaboration. For more information, see [View refresh history and monitor your dataflows](../data-factory/dataflows-gen2-monitor.md).|

8786 |**Data replication from Lakehouse with Delta Change Feed (Preview)**|The Fabric Lakehouse Table connector provides changed data from a Fabric Lakehouse via Delta Change Data Feed (CDF), to supported destinations. For more information, see [Data Replication from Fabric Lakehouse with Delta Change Data Feed (Preview)](https://blog.fabric.microsoft.com/blog/september-2025-fabric-feature-summary?ft=All#post-28106-_Toc208595416).|

87 +|**Data Warehouse Migration Assistant for Teradata (Preview)**|Get started planning your [Teradata migration to Fabric Data Warehouse (preview)](../data-warehouse/migration-teradata-planning.md) with the [Fabric Migration Assistant for Data Warehouse](../data-warehouse/migration-assistant.md).|

88 +|**Database Hub (Preview)**|[Database Hub (Preview)](../database/hub/overview.md) provides a unified operational experience for managing database estates across Azure, Microsoft Fabric, on-premises environments, and supported multicloud environments.|

8889 |**dbt Job in Fabric Data Factory (Preview)**|A [dbt Job in Fabric Data Factory](https://blog.fabric.microsoft.com/blog/dbt-job-in-microsoft-fabric-ship-trustworthy-sql-models-faster-preview) lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance via Entra ID and SQL security policies. For more information, see [dbt job in Microsoft Fabric (preview)](../data-factory/dbt-job-overview.md).|

8990 |**Delegated OneLake Shortcuts (Preview)**|[Delegated OneLake Shortcuts (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplifying-secure-data-access-with-Delegated-OneLake-Shortcuts/ba-p/5254632) let you attach an organizational account, service principal, or workspace identity to a OneLake shortcut so downstream users access the target through the delegated identity. The same model works across Microsoft Fabric tenants for parent-subsidiary and test-to-production sharing without individual cross-tenant permissions. For more information, see [OneLake shortcuts](../onelake/onelake-shortcuts.md) and [Create a OneLake shortcut](../onelake/shortcuts/create-onelake-shortcut.md).|

9091 |**Delta column mapping in the SQL analytics endpoint**|SQL analytics endpoint now supports [Delta tables with column mapping enabled](https://blog.fabric.microsoft.com/blog/fabric-september-2024-monthly-update?ft=All#post-14247-_Toc177485830). For more information, see [Delta column mapping](https://docs.delta.io/delta-column-mapping). This feature is currently in preview.|

91 −|**DeltaFlow transformation in Fabric Real-Time Intelligence's Eventstream (preview)**|DeltaFlow is a capability in Fabric Eventstream that transforms raw Change Data Capture (CDC) events into a flattened, analytics-ready format. Instead of working with deeply nested Debezium JSON payloads, DeltaFlow produces tabular rows that closely mirror the structure of the source database tables, enriched with metadata columns that describe each change. Eventstream supports DeltaFlow transformations, which are currently in preview. For more information, see [DeltaFlow output transformation (preview)](../real-time-intelligence/event-streams/delta-flow-output-transformation.md) and [Blog: Business Events in Microsoft Fabric (Preview)](https://blog.fabric.microsoft.com/blog/fabric-march-2026-feature-summary/#post-34196-_Toc224559647). |

92 +|**DeltaFlow transformation in Fabric Real-Time Intelligence's Eventstream (preview)**|DeltaFlow is a capability in Fabric Eventstream that transforms raw Change Data Capture (CDC) events into a flattened, analytics-ready format. Instead of working with deeply nested Debezium JSON payloads, DeltaFlow produces tabular rows that closely mirror the structure of the source database tables, enriched with metadata columns that describe each change. Eventstream supports DeltaFlow transformations, which are currently in preview. For more information, see [DeltaFlow output transformation (preview)](../real-time-intelligence/event-streams/delta-flow-output-transformation.md) and [Business events overview](../real-time-hub/business-events/business-events-overview.md). |

9293 |**Digital twin builder (Preview)**|[Digital twin builder (preview)](https://blog.fabric.microsoft.com/blog/digital-twin-builder-in-microsoft-fabric-real-time-intelligence-revolutionizing-digital-twin-creation-and-management?ft=All) is an item within the Real-Time Intelligence workload. [Digital twins create data-driven, real-time representations of entities](https://blog.fabric.microsoft.com/blog/elevate-how-your-organization-operates-using-real-time-intelligence-now-enhanced-with-digital-twin-builder?ft=All). It's a data modeling item that creates digital representations of real-world environments, to optimize physical operations using data. For more information, see [What is digital twin builder (preview)?](../real-time-intelligence/digital-twin-builder/overview.md)|

9394 |**Efficient Scaledown for Spark jobs (Preview)**|[Efficient Scaledown (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/More-resilient-Spark-jobs-with-Efficient-Scaledown-Preview/ba-p/5212071) decouples Spark shuffle data from executor lifetime by routing shuffle output to Azure Blob Storage, so clusters scale down faster and tolerate executor loss with no notebook or query changes. It requires the Native Execution Engine on Fabric Spark Runtime 3.5 or later. For more information, see [Efficient scaledown](../data-engineering/efficient-scaledown-remote-shuffle-manager.md) and [Native execution engine for Fabric Data Engineering](../data-engineering/native-execution-engine-overview.md).|

9495 |**Entity diagram in Eventhouse KQL database (Preview)**|[Entity diagram in Eventhouse KQL database (Preview)](https://blog.fabric.microsoft.com/blog/entity-diagram-in-eventhouse-kql-database-preview?ft=All) adds a visual entity diagram for exploring tables, relationships, data flow, and schema violations in Eventhouse KQL databases. For more information, see [View an entity diagram in KQL database (preview)](../real-time-intelligence/database-entity-diagram.md).|

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107108 |**Fabric data agent enhanced visualizations (Preview)**|[Enhanced data agent visualizations with Fabric visuals (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Enhanced-data-agent-visualizations-with-Fabric-visuals-Preview/ba-p/5359686) let data agents return interactive Fabric charts and graphs alongside text and tables. For more information, see [Get visual responses from a Fabric data agent (preview)](../data-science/data-agent-visuals.md) and [Best practices for configuring your data agent](../data-science/data-agent-configuration-best-practices.md).|

108109 |**Fabric data agents evaluation with the Python SDK (Preview)**|You can now use [the Python SDK to programmatically evaluate Fabric data agents](https://blog.fabric.microsoft.com/blog/evaluate-your-fabric-data-agents-programmatically-with-the-python-sdk?ft=All). For more information, see [Consume a Fabric Data Agent in Microsoft Copilot Studio (preview)](../data-science/data-agent-microsoft-copilot-studio.md).|

109110 |**Fabric Data Agent integration with Azure AI Agent Service (Preview)**|We're excited to launch the integration of data agents in Fabric with Azure AI Agent Service from Microsoft Foundry. To get started, see [Consume a Fabric Data Agent in Microsoft Copilot Studio (preview)](../data-science/data-agent-microsoft-copilot-studio.md). The [Fabric data agent SDK](https://pypi.org/project/fabric-data-agent-sdk/) is also available in preview.|

111 +|**Fabric data engineering agent (Project Osmos) (Preview)**|[Fabric data engineering agent (Project Osmos)](../data-engineering/data-engineering-agent-overview.md) runs persistent, Fabric-hosted tasks that autonomously plan, execute, and validate data engineering work against authorized lakehouse resources. Start tasks from a supported command-line client, review operational settings, and monitor progress and results in Fabric.|

110112 |**Fabric Data Factory Upsert table action in the Lakehouse Connector (Preview)**|The [Upsert (Preview) table action in the Lakehouse Connector](https://blog.fabric.microsoft.com/blog/on-premises-data-gateway-june-2025-release?ft=All) is in preview.|

111113 |**Fabric Data Warehouse GPU query acceleration (Preview)**|[GPU-accelerated Fabric Data Warehouse (Early Access Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/A-new-analytics-frontier-GPU-accelerated-Fabric-Data-Warehouse/ba-p/5191598) uses NVIDIA accelerated computing to run eligible T-SQL queries on GPUs with no query rewrites, delivering up to 7x faster performance at high concurrency across all SQL analytics endpoints and warehouses in a workspace once you enable it from workspace settings. For more information, see [Query acceleration in Fabric Data Warehouse (preview)](../data-warehouse/query-acceleration.md).|

112114 |**Fabric Data Warehouse MCP server (Preview)**|[Agentic warehouse development with MCP and Agent Skills (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bringing-agentic-warehouse-development-to-Fabric-Data-Warehouse/ba-p/5360190) introduces a remote Data Warehouse MCP server that lets AI coding agents work with Fabric warehouses through authenticated, governed tools. For more information, see [Data Warehouse MCP server](../data-warehouse/data-warehouse-mcp-server.md) and [Skills for Microsoft Fabric](skills-for-fabric-overview.md).|

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139141 |**MCP remote servers for Activator and Eventhouse in Real-Time Intelligence (preview)**| Fabric Real-Time Intelligence provides hosted Model Context Protocol (MCP) remote servers for Activator and Eventhouse, enabling AI assistants and agents to interact with RTI components through natural language. By using the Activator MCP server, AI assistants can create monitoring rules, manage alerts, and trigger actions in Fabric Activator. The Eventhouse remote MCP server allows AI agents to query, reason over, and act on real-time data stored in an RTI eventhouse by configuring a URL that points to the Eventhouse. For more information, see [Get started with the remote MCP server for eventhouses (preview)](../real-time-intelligence/mcp-remote-eventhouse.md) and [Get started with the remote MCP server for Activator (preview)](../real-time-intelligence/mcp-remote-activator.md). This feature is currently in preview. |

140142 |**Microsoft ADO.NET Driver for Fabric Data Engineering (Preview)**|The [Microsoft ADO.NET Driver for Fabric Data Engineering (Preview)](https://blog.fabric.microsoft.com/blog/microsoft-ado-net-driver-for-microsoft-fabric-data-engineering-preview?ft=All) lets .NET applications connect to Spark SQL in Fabric using standard ADO.NET patterns with Microsoft Entra ID authentication, connection pooling, and async prefetch via Livy APIs. For more information, see [Microsoft ADO.NET driver for Microsoft Fabric Data Engineering (preview)](../data-engineering/spark-adonet-driver.md).|

141143 |**Microsoft Fabric Embed (Preview)**|[Microsoft Fabric Embed (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Real-Time-Dashboards-into-your-apps-with-Microsoft-Fabric/ba-p/5323626) lets you embed Real-Time Dashboards in JavaScript or TypeScript apps with delegated Microsoft Entra access. For more information, see [Power BI embedded analytics](/power-bi/developer/embedded/embedded-analytics-power-bi) and [What is Microsoft Fabric Embed in Microsoft Fabric (Preview)?](../embed/what-is-fabric-embed.md).|

144 +|**Microsoft Fabric policies (Preview)**|[Microsoft Fabric policies](../governance/fabric-policies-overview.md) let administrators centrally define and enforce condition-based governance rules at tenant or capacity scope. Policies support centralized management in the OneLake catalog, audit logging, REST APIs, Git integration, and CI/CD automation.|

142145 |**Microsoft ODBC Driver (Preview)**|The [Microsoft ODBC Driver for Fabric Data Engineering (Preview)](https://blog.fabric.microsoft.com/blog/microsoft-odbc-driver-for-microsoft-fabric-data-engineering-preview) enables .NET, Python, and other ODBC-compatible applications and BI tools to connect to Spark SQL in Fabric through Livy APIs with Microsoft Entra ID authentication, session reuse, and async prefetch. For more information, see [Microsoft ODBC driver for Microsoft Fabric Data Engineering (Preview)](../data-engineering/spark-odbc-driver.md).|

143146 |**Mirrored Dremio catalog in OneLake (Preview)**|Fabric can mirror Dremio Iceberg REST Catalog metadata to enable zero-copy access to Dremio-managed Iceberg tables in OneLake via shortcuts. Tables appear in OneLake within seconds after selection, with optional auto-include of newly added tables and SQL analytics endpoint querying across Fabric workloads. For more information, see [Bring your Dremio data into OneLake (Preview)](https://blog.fabric.microsoft.com/blog/bring-your-dremio-data-into-onelake-preview/) and [Mirrored Dremio catalog](../mirroring/catalog-mirroring/dremio.md).|

144147 |**Mirroring for Azure Database for MySQL (Preview)**|[Mirroring in Fabric](../mirroring/overview.md) provides an easy experience to avoid complex ETL (Extract, Transform, Load) processes and seamlessly integrate your existing Azure Database for MySQL data with the rest of your data in Fabric. For more information, see [Mirroring Azure Database for MySQL](../mirroring/azure-database-mysql.md).|

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151154 |**Notebook debug within vscode.dev (Preview)**|You can now [place breakpoints and debug your Notebook code](https://blog.fabric.microsoft.com/blog/fabric-september-2024-monthly-update?ft=All#post-14247-_Toc177485843) with the [Synapse VS Code - Remote](https://marketplace.visualstudio.com/items?itemName=SynapseVSCode.vscode-synapse-remote) extension in [vscode.dev](https://vscode.dev/). This update first starts with the [Fabric Runtime 1.3 (EOSA)](../data-engineering/runtime-1-3.md).|

152155 |**Observability for Fabric Data Agent in Microsoft Foundry (Preview)**|[Observability for Fabric Data Agent in Microsoft Foundry (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId--1012203563) surfaces telemetry for every call to a Fabric Data Agent used as a tool inside a Foundry agent, including latency, status, and error details, so agent builders can debug and monitor production agents. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

153156 |**OneLake Catalog search API, MCP, and CLI tools (Preview)**|[OneLake Catalog search API and MCP tool (Preview)](https://blog.fabric.microsoft.com/blog/fabric-march-2026-feature-summary/#post-34196-_Toc224559579) brings cross-workspace discovery to code with a single search request to locate matching items across your accessible estate based on catalog metadata and user permissions, with the capability also included as a built-in tool in the Fabric Core MCP server for AI agents. The [Fabric CLI `fab find` command](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Discover-items-across-workspaces-with-the-OneLake-Catalog-Search/ba-p/5176768) extends the search to the terminal so you can locate items across workspaces, filter or exclude by item type, and pipe results through JMESPath. For more information, see [OneLake catalog overview](../governance/onelake-catalog-overview.md).|

157 +|**OneLake table read API (Preview)**|Use the table read API to read rows from a Delta Lake or Apache Iceberg table in OneLake. For more information, see [Overview of OneLake table APIs](../onelake/table-apis/table-apis-overview.md).|

154158 |**On-premises data gateway manual update (Preview)**|[Manual update for the on-premises data gateway](https://blog.fabric.microsoft.com/blog/manual-update-for-on-premises-data-gateway-public-preview?ft=All) is now in preview, allowing administrators to trigger gateway updates through the Fabric portal, API, or PowerShell scripts on their own schedule. For more information, see [Update an on-premises data gateway](/data-integration/gateway/service-gateway-update#update-gateways-from-the-ui-preview).|

155159 |**Ontology (preview)** item | *Ontology (preview)* in Fabric IQ lets you define entity types, relationships, properties, and other constraints to organize data according to your business vocabulary. For more information, see [What is ontology (preview)?](../iq/ontology/overview.md) |

156160 |**OpenAI plugins for Eventhouse (Preview)**|You can now use [two powerful AI plugins for Eventhouse: AI Embed Text Plugin and AI Chat Completion Prompt Plugin](https://blog.fabric.microsoft.com/blog/introducing-new-openai-plugins-for-eventhouse-preview?ft=All). Connect Eventhouse data to OpenAI-powered applications for advanced analytics and AI scenarios. For more information, see [ai_embed_text (preview)](/kusto/query/ai-embed-text-plugin) and [ai_chat_completion (preview)](/kusto/query/ai-chat-completion-plugin).|

157161 |**Operations Agent for Pipelines (Preview)**|Operations Agent for Pipelines is an AI-powered monitoring agent in Data Factory that continuously watches your pipeline runs and proactively notifies you through Microsoft Teams when failures or anomalies occur. You can configure the agent to monitor specific scenarios such as all pipeline failures or runs exceeding expected durations, without writing custom alerting logic. For more information, see [Operations Agent for Pipelines (preview)](../data-factory/operations-agent-for-pipelines.md).|

162 +|**Optimal refresh for materialized lake view updates and deletes (Preview)**|[Optimal refresh for updates and deletes](../data-engineering/materialized-lake-views/optimal-refresh-handling-deletes-updates.md) lets materialized lake views process changed and deleted source rows incrementally. Refresh hints identify unique rows so Fabric can avoid a full refresh when supported source data changes.|

158163 |**Oracle Database CDC source connector for Fabric Eventstream (Preview)**|[The Oracle Database CDC source connector for Eventstream (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Stream-Oracle-database-changes-into-Microsoft-Fabric-Eventstream/ba-p/5277839) streams changes from an Oracle database into Fabric as a structured change event with before and after values, using Oracle LogMiner for on-premises or cloud databases running Oracle 12c and later. For more information, see [Add Oracle Database CDC source to an eventstream (preview)](../real-time-intelligence/event-streams/add-source-oracle-database-change-data-capture.md).|

159164 |**Pagination support for Eventstream HTTP connector (Preview)**|You can [add an HTTP source to an eventstream (preview)](../real-time-intelligence/event-streams/add-source-http.md) to ingest paginated REST API responses through page-based or cursor-based pagination, eliminating custom orchestration when bringing activity logs, audit records, or operational events into Eventstream.|

160165 |**Partitioned compute for Dataflow Gen2 (Preview)**| Partitioned compute is a capability of the Dataflow Gen2 engine that allows parts of your dataflow logic to run in parallel, reducing the time to complete its evaluations. For more information, see [partitioned compute in Dataflow Gen2](../data-factory/dataflow-gen2-partitioned-compute.md).|

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190195 |**Warehouse data clustering (Preview)**|Data clustering is a technique used to organize and store data based on similarity. Data clustering improves query performance and reduces compute and storage access costs for queries by grouping similar records together. For more information and to get started, see [Data clustering in Fabric Data Warehouse](../data-warehouse/data-clustering.md) and [Use data clustering in Fabric Data Warehouse (Preview)](../data-warehouse/tutorial-data-clustering.md).|

191196 |**Monitor for Fabric Data Warehouse (Preview)**|[Monitor for Fabric Data Warehouse (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Data-Warehouse-Monitor-A-Unified-Monitoring-Experience-for/ba-p/5180024) (previously Query Activity) is unified monitoring for Fabric Data Warehouse that shows active and historical queries side by side, supports cross-execution performance analysis powered by Query Insights, and lets you cancel long-running queries with one click. For more information, see [Monitor T-SQL queries in Fabric Data Warehouse (Preview)](../data-warehouse/monitor.md).|

192197 |**Warehouse source control (Preview)**|Using [Source control with Warehouse (preview)](../data-warehouse/development-deployment.md), you can manage development and deployment of versioned warehouse objects. You can use [SQL Database Projects extension](/sql/tools/visual-studio-code-extensions/sql-database-projects/sql-database-projects-extension) available inside of Visual Studio Code. For more information on warehouse source control, see [CI/CD with Warehouses in Microsoft Fabric](https://blog.fabric.microsoft.com/blog/ci-cd-with-warehouses-in-microsoft-fabric/).|

193 −|**Workspace monitoring (Preview)**|[Workspace monitoring (preview)](workspace-monitoring-overview.md) is a Microsoft Fabric database that collects data from a range of Fabric items in your workspace, and lets you access and analyze logs and metrics. For more information about this feature, see [Announcing preview of workspace monitoring](https://blog.fabric.microsoft.com/blog/announcing-public-preview-of-workspace-monitoring?ft=All).|

198 +|**Workspace-level surge protection (Preview)**|Workspace-level surge protection lets capacity admins cap a workspace's compute consumption, automatically or manually block excessive consumers, exempt mission-critical workspaces, and restore blocked workspaces. For more information, see [Manage surge protection for Fabric capacities](../enterprise/surge-protection.md#workspace-level-surge-protection-preview).|

199 +|**Workspace monitoring (Preview)**|[Workspace monitoring](workspace-monitoring-overview.md) uses a monitoring item to collect logs and metrics from supported Fabric items. Centralize telemetry from multiple workspaces, query it with KQL, build dashboards and reports, create alerts, and use Operations Agent to investigate issues.|

194200 |**Workspace Monitoring for Copy job (Preview)**|[Workspace Monitoring for Copy job (Preview)](https://blog.fabric.microsoft.com/blog/gain-full-visibility-into-your-copy-jobs-with-workspace-monitoring-in-microsoft-fabric-preview?ft=All) streams Copy job execution logs to a Monitoring Eventhouse with per-activity metrics including throughput, data volume, error codes, and timing for centralized observability. For more information, see [Workspace monitoring for Copy job](../data-factory/copy-job-workspace-monitoring.md).|

195201 |**Workspace outbound access protection for Azure and Fabric events (Preview)**|[Workspace outbound access protection (OAP) for Azure and Fabric events (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Secure-Azure-and-Fabric-Event-Flows-Across-Workspaces-with/ba-p/5240305) extends outbound network controls to cross-workspace event consumption, so Activator alerts, Eventstreams, and other consumers in a protected workspace can only receive events from other workspaces when the Real-Time Events connector is added to the workspace's data connection rules. For more information, see [Tenant private links for Azure and Fabric events](../real-time-hub/private-links-real-time-events.md).|

196202 |**Workspace outbound access protection for Fabric Maps (Preview)**|[Workspace outbound access protection for Fabric Maps (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Workspace-Outbound-Access-Protection-OAP-for-Operations-Agent/ba-p/5363817) allows only approved map data sources and external geospatial services through workspace data connection rules. For more information, see [Workspace outbound access protection for Fabric Maps](../security/workspace-outbound-access-protection-fabric-maps.md).|

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205211 |**Month** | **Feature** | **Learn more** |

206212 |:-- |:-- | :-- |

213 +|September 2026|**Capacity overage (Generally Available)**|Capacity overage is now generally available for Fabric F SKUs and is enabled by default when you create a capacity. It pays for eligible excess capacity usage to help prevent throttling, up to a configurable rolling 24-hour threshold. For more information, see [Capacity overage in Microsoft Fabric](../enterprise/capacity-overage-overview.md) and [Enable capacity overage in Microsoft Fabric](../enterprise/enable-capacity-overage.md).|

214 +|September 2026|**Vector indexes and vector search in SQL database in Fabric (Generally Available)**|[Vector indexes and vector search in SQL database in Fabric](/sql/sql-server/ai/vectors?view=fabric-sqldb&preserve-view=true) are now generally available. For more information, see [CREATE VECTOR INDEX](/sql/t-sql/statements/create-vector-index-transact-sql?view=fabric-sqldb&preserve-view=true) and [Vector indexes and vector search general availability](https://aka.ms/azuresql-vectorindex-ga).|

215 +|September 2026|**SharePoint List mirroring (Generally available)**|SharePoint List mirroring is now generally available. You can continuously replicate SharePoint list data into OneLake and use it across Fabric workloads. For more information, see [SharePoint List mirroring](../mirroring/sharepoint-list.md).|

216 +|September 2026|**dbt job in Fabric Data Factory (Generally Available)**|dbt job in Fabric Data Factory lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance through Microsoft Entra ID and SQL security policies. For more information, see [dbt job in Microsoft Fabric](../data-factory/dbt-job-overview.md).|

207217 |September 2026|**Result set caching**|[Result set caching](../data-warehouse/result-set-caching.md) works by persisting the final result sets for applicable `SELECT` T-SQL queries, bypassing complex compilation and data processing of the original query to return queries faster. To learn more, review the preview announcement at [Result Set Caching for Microsoft Fabric Data Warehouse](https://blog.fabric.microsoft.com/blog/result-set-caching-preview-for-microsoft-fabric?ft=All). Result set caching is enabled by default.|

208218 |September 2026|**SQL query editor enhancements (Generally Available)**|[SQL query editor enhancements](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033) add a faster results grid, scalable object explorer and IntelliSense, autosave controls, bulk query management, `.sql` file import and export, and integrations with OneLake analytics and semantic models. For more information, see [SQL query editor](../data-warehouse/sql-query-editor.md).|

209219 |September 2026|**Fabric networking communication policies Admin API (Generally Available)**|The [List Networking Communication Policies Admin API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Get-tenant-wide-visibility-into-workspace-networking-policies/ba-p/5361690) provides a tenant-wide, paginated view of workspace inbound and outbound networking policies. For more information, see [List Networking Communication Policies](/rest/api/fabric/admin/workspaces/list-networking-communication-policies).|

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282292 |**Month** | **Feature** | **Learn more** |

283293 |:-- |:-- | :-- |

294 +|September 2026|**Microsoft Fabric policies (Preview)**|[Microsoft Fabric policies](../governance/fabric-policies-overview.md) provide centralized, condition-based governance at tenant and capacity scope. Administrators can control governed actions based on workspaces, security groups, sensitivity labels, item types, and other conditions.|

295 +|September 2026|**Updated workspace monitoring experience (Preview)**|The updated [workspace monitoring](workspace-monitoring-overview.md) experience uses a monitoring item to collect and centralize telemetry from supported Fabric items and multiple workspaces. Query monitoring data with KQL, build dashboards and reports, configure alerts, and use Operations Agent for automated investigation.|

296 +|September 2026|**Capacity overage (Generally Available)**|Capacity overage is now generally available for Fabric F SKUs and is enabled by default when you create a capacity. It pays for eligible excess capacity usage to help prevent throttling, up to a configurable rolling 24-hour threshold. For more information, see [Capacity overage in Microsoft Fabric](../enterprise/capacity-overage-overview.md) and [Enable capacity overage in Microsoft Fabric](../enterprise/enable-capacity-overage.md).|

297 +|September 2026|**Workspace-level surge protection (Preview)**|Workspace-level surge protection lets capacity admins cap a workspace's compute consumption, automatically or manually block excessive consumers, exempt mission-critical workspaces, and restore blocked workspaces. For more information, see [Manage surge protection for Fabric capacities](../enterprise/surge-protection.md#workspace-level-surge-protection-preview).|

284298 |September 2026|**Fabric networking communication policies Admin API (Generally Available)**|The [List Networking Communication Policies Admin API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Get-tenant-wide-visibility-into-workspace-networking-policies/ba-p/5361690) provides a tenant-wide, paginated view of workspace inbound and outbound networking policies. For more information, see [List Networking Communication Policies](/rest/api/fabric/admin/workspaces/list-networking-communication-policies).|

299 +|September 2026|**OneLake table read API (Preview)**|Use the table read API to read rows from a Delta Lake or Apache Iceberg table in OneLake. For more information, see [Overview of OneLake table APIs](../onelake/table-apis/table-apis-overview.md)|

285300 |August 2026|**Git Integration Workspace Relation API (Preview)**|The [Workspace Relations API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_3) lets automation create, query, update, and delete relationships between parent and branched workspaces. For more information, see [Development process using the Branch out experience](../cicd/git-integration/branched-workspace.md).|

286301 |August 2026|**Workspace customer-managed key APIs (Generally Available)**|[Workspace customer-managed key APIs are generally available](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Customer-Managed-Key-CMK-APIs-for-Microsoft-Fabric-Workspaces/ba-p/5360035), so administrators can automate workspace encryption-key assignment and removal. For more information, see [Customer-managed keys for Fabric workspaces](../security/workspace-customer-managed-keys.md) and [Assign workspace encryption](/rest/api/fabric/core/workspaces/assign-workspace-encryption).|

287302 |August 2026|**Item Recovery enabled by default**|[Item Recovery is enabled by default](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Enabling-Item-Recovery-by-default-in-Microsoft-Fabric/ba-p/5323843) beginning August 16, 2026, for tenants without an explicit setting, with a three-day retention window; existing settings remain unchanged, and admins can set retention from 3 to 90 days or disable recovery. For more information, see [Retention and recovery in Fabric](../admin/retention-recovery.md) and [OneLake consumption](../onelake/onelake-consumption.md).|

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368383 |**Month** | **Feature** | **Learn more** |

369384 |:-- |:-- | :-- |

385 +|September 2026|**Fabric data engineering agent (Project Osmos) (Preview)**|[Fabric data engineering agent](../data-engineering/data-engineering-agent-overview.md) autonomously plans, executes, and validates persistent data engineering tasks against authorized lakehouse resources. Start and guide tasks from supported command-line clients, and monitor their progress in Fabric.|

386 +|September 2026|**Optimal refresh for materialized lake view updates and deletes (Preview)**|[Refresh hints for materialized lake views](../data-engineering/materialized-lake-views/optimal-refresh-handling-deletes-updates.md) enable incremental processing when Delta source tables contain updates or deletes. Identifying unique row keys helps Fabric avoid unnecessary full refreshes and reduce refresh time and compute use.|

370387 |August 2026|**Metadata Sync support for Delta Checkpoint V2 (Generally Available)**|[Metadata Sync support for Delta Checkpoint V2](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_27) lets both legacy and new Metadata Sync discover and synchronize Delta tables that use the Checkpoint V2 format. For more information, see [SQL analytics endpoint metadata synchronization](../data-engineering/sql-analytics-endpoint-metadata-sync.md).|

371388 |August 2026|**Fabric Runtime 2.0 (Generally Available)**|[Fabric Runtime 2.0 (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Runtime-2-0-Generally-Available/ba-p/5326359) includes Apache Spark 4.1, Delta Lake 4.2, Python 3.13, Java 21, Scala 2.13, and Azure Linux 3.0, and remains opt-in until its planned default rollout. For more information, see [Runtime 2.0 in Fabric](../data-engineering/runtime-2-0.md).|

372389 |August 2026|**Scheduled User Data Functions (Preview)**|[Scheduled User Data Functions (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Automate-recurring-business-logic-with-scheduled-User-Data/ba-p/5341912) run parameterized business logic on a recurring cadence through the Fabric job scheduler, with execution history available in the monitoring hub. For more information, see [User Data Functions overview](../data-engineering/user-data-functions/user-data-functions-overview.md) and [Schedule a User Data Function](../data-engineering/user-data-functions/schedule-functions.md).|

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436453 |**Month** | **Feature** | **Learn more** |

437454 |:-- |:-- | :-- |

455 +|September 2026 |**Database Hub (Preview)**|[Database Hub (Preview)](../database/hub/overview.md) provides a unified operational experience for managing database estates across Azure, Microsoft Fabric, on-premises environments, and supported multicloud environments.|

456 +|September 2026|**Vector indexes and vector search in SQL database (Generally Available)**|[Vector indexes and vector search in SQL database in Fabric](/sql/sql-server/ai/vectors?view=fabric-sqldb&preserve-view=true) are now generally available. For more information, see [CREATE VECTOR INDEX](/sql/t-sql/statements/create-vector-index-transact-sql?view=fabric-sqldb&preserve-view=true) and [Vector indexes and vector search general availability](https://aka.ms/azuresql-vectorindex-ga).|

438457 |August 2026|**Migration Assistant to SQL database (Generally Available)**|[Migration Assistant to SQL database](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Migration-Assistant-for-SQL-database-Generally-Available/ba-p/5363606) is generally available and lets you validate a source DACPAC for compatibility before provisioning a SQL database in Fabric. For more information, see [Fabric Migration Assistant for SQL database](../database/sql/migration-assistant.md).|

439458 |August 2026|**SQL database skills (Preview)**|[SQL database skills (Preview)](https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/build-end-to-end-fabric-solutions-with-sql-database-skills-preview/5357234) give AI coding agents workload-specific guidance for authoring schemas, querying data, and operating SQL databases as part of broader Fabric solutions. For more information, see [Work with SQL database skills in Microsoft Fabric](../database/sql/skills.md).|

440459 |July 2026|**Change event streaming (Preview)**|Change event streaming (CES) captures row-level DML changes (inserts, updates, and deletes) and publishes each change to Fabric Eventstream or Azure Event Hubs in near real time as a CloudEvent, enabling downstream analytics and event-driven architectures with no ETL. For more information, see [Change event streaming overview](/sql/relational-databases/track-changes/change-event-streaming/overview?view=fabric-sqldb&preserve-view=true).|

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457476 |**Month** | **Feature** | **Learn more** |

458477 |:-- |:-- | :-- |

478 +|September 2026|**Migration Assistant for Teradata (Preview)**|Get started planning your [Teradata migration to Fabric Data Warehouse (preview)](../data-warehouse/migration-teradata-planning.md) with the [Fabric Migration Assistant for Data Warehouse](../data-warehouse/migration-assistant.md).|

479 +|September 2026|**New T-SQL syntax for Fabric Data Warehouse and the SQL analytics endpoint**|Fabric Data Warehouse and the SQL analytics endpoint now support new T-SQL syntax: [FROM - SELECT (Transact-SQL)](/sql/t-sql/queries/from-select-transact-sql?view=fabric&preserve-view=true) and [SELECT - GROUP BY clause (Transact-SQL)](/sql/t-sql/queries/select-group-by-transact-sql?view=fabric&preserve-view=true).|

459480 |September 2026|**Result set caching**|[Result set caching](../data-warehouse/result-set-caching.md) works by persisting the final result sets for applicable `SELECT` T-SQL queries, bypassing complex compilation and data processing of the original query to return queries faster. To learn more, review the preview announcement at [Result Set Caching for Microsoft Fabric Data Warehouse](https://blog.fabric.microsoft.com/blog/result-set-caching-preview-for-microsoft-fabric?ft=All). Result set caching is enabled by default.|

460481 |September 2026|**Monitor for Fabric Data Warehouse (Preview)**|[Monitor for Fabric Data Warehouse (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Data-Warehouse-Monitor-A-Unified-Monitoring-Experience-for/ba-p/5180024) (previously Query Activity) is unified monitoring for Fabric Data Warehouse that shows active and historical queries side by side, supports cross-execution performance analysis powered by Query Insights, and lets you cancel long-running queries with one click. For more information, see [Monitor T-SQL queries in Fabric Data Warehouse (Preview)](../data-warehouse/monitor.md).|

461482 |September 2026|**SQL query editor enhancements (Generally Available)**|[SQL query editor enhancements](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033) add a faster results grid, scalable object explorer and IntelliSense, autosave controls, bulk query management, `.sql` file import and export, and integrations with OneLake analytics and semantic models. For more information, see [SQL query editor](../data-warehouse/sql-query-editor.md).|

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496517 |**Month** | **Feature** | **Learn more** |

497518 |:-- |:-- | :-- |

519 +|September 2026|**SharePoint List mirroring (Generally available)**|SharePoint List mirroring is now generally available. You can continuously replicate SharePoint list data into OneLake and use it across Fabric workloads. For more information, see [SharePoint List mirroring](../mirroring/sharepoint-list.md).|

498520 |August 2026|**Mirroring for Google BigQuery (Generally Available)**|[Mirroring for Google BigQuery](../mirroring/google-bigquery.md) is now generally available with full production support. Continuously replicate BigQuery tables into OneLake as open Delta tables — no ETL pipelines, no data movement, and no refresh management — with automatic schema evolution, Direct Lake integration for Power BI, and zero Fabric replication compute or network ingress cost. For more information, see [Mirrored databases from Google BigQuery](../mirroring/google-bigquery.md) and [Tutorial: Set up mirroring for Google BigQuery](../mirroring/google-bigquery-tutorial.md).|

499521 |August 2026|**Google Lakehouse Runtime Catalog mirroring (Preview)**|[Google Lakehouse Runtime Catalog mirroring (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-your-Google-Lakehouse-Runtime-Catalog-data-to-OneLake/ba-p/5360492) brings Google-managed Iceberg catalog metadata into OneLake without copying data, so you can use the tables across Fabric workloads. For more information, see [Google Lakehouse Runtime Catalog mirroring](https://aka.ms/OneLakeMirroredCatalogDocs/GoogleLHRTC).|

500522 |July 2026|**Azure Monitor and AWS Glue mirroring (Preview)**|[Mirrored Azure Monitor and Mirrored AWS Glue catalog](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Azure-Monitor-and-AWS-Glue-data-to-OneLake-Preview/ba-p/5326474) bring Log Analytics workspace tables and AWS Glue Iceberg tables into OneLake for Fabric analysis without duplicating data. For more information, see [Mirror Azure Monitor in Microsoft Fabric](https://aka.ms/OneLakeMirroredCatalogDocs/AzMon) and [Mirrored AWS Glue catalog](https://aka.ms/OneLakeMirroredCatalogDocs/AWSGlue).|

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517539 |**Month** | **Feature** | **Learn more** |

518540 |:-- |:-- | :-- |

541 +|September 2026|**Business Events in Real-Time Intelligence (Generally Available)**|Business Events is now generally available. For more information, see [Business events overview](../real-time-hub/business-events/business-events-overview.md).|

519542 |September 2026|**Capacity Operation Events in Real-Time Hub (Preview)**|[Capacity Operation Events in Real-Time Hub (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Operation-Events-in-Real-Time-Hub-Preview/ba-p/5364092) provide operation-level telemetry for capacity consumption, duration, throttling, workspaces, and items. For more information, see [Explore Fabric capacity operation events](../real-time-hub/explore-fabric-capacity-operation-events.md).|

520543 |September 2026|**Workspace outbound access protection for Fabric Maps (Preview)**|[Workspace outbound access protection for Fabric Maps (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Workspace-Outbound-Access-Protection-OAP-for-Operations-Agent/ba-p/5363817) allows only approved map data sources and external geospatial services through workspace data connection rules. For more information, see [Workspace outbound access protection for Fabric Maps](../security/workspace-outbound-access-protection-fabric-maps.md).|

521544 |August 2026|**Activator rules in Eventstream (Generally Available)**|[Activator rules in Eventstream](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_43) let you create, edit, delete, and open alert rules without leaving Eventstream. For more information, see [Add a Fabric Activator destination to an eventstream](https://aka.ms/EventstreamAddRule).|

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575598 |**Month** | **Feature** | **Learn more** |

576599 |:-- |:-- | :-- |

600 +| September 2026 | **Ontology new experience (preview)**| Ontology in Fabric released a new experience in preview, including new flows and capabilities. For more information, see [What is ontology (preview)?](../iq/ontology/overview.md) |

601 +| September 2026 | **Graph in Microsoft Fabric: GQL enhancements**| [Graph in Microsoft Fabric](../graph/overview.md) introduced GQL capabilities for advanced path traversal, richer query composition and aggregation, and expanded support for graph elements and complex data types. For more information, see [GQL Language Guide for graph](../graph/gql-language-guide.md). |

602 +| September 2026 | **Graph in Microsoft Fabric: Extended graph traversal** | [Graph in Microsoft Fabric](../graph/overview.md) added unbounded variable-length path traversal and new path controls, inspection functions, and composition capabilities for exploring relationships of unknown depth. To get started, see [Tutorial: Introduction to Graph in Microsoft Fabric](../graph/tutorial-introduction.md). |

603 +| September 2026 | **Graph in Microsoft Fabric: Incremental data updates**| [Graph in Microsoft Fabric](../graph/overview.md) introduced incremental data and additive schema updates that apply eligible changes without rebuilding the entire graph while preserving query availability. For more information, see [Manage data in graph in Microsoft Fabric](../graph/manage-data.md). |

577604 |August 2026|**PowerTable billing personas (Generally Available)**|[Billing personas for PowerTable in Fabric Planning are generally available](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Billing-personas-for-PowerTable-within-Planning-in-Fabric-IQ/ba-p/5360168), with role-based billing for Planners, Stakeholders, and Viewers. For more information, see [Billing and usage for planning in Fabric](../iq/plan/resources/billing-fabric-plan.md).|

578605 |July 2026|**Fabric IQ conversational analytics**|[Fabric IQ conversational analytics](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/The-future-of-conversational-analytics-in-Fabric/ba-p/5302562) lets you ask questions over governed Power BI semantic models in Microsoft 365 Copilot Chat and Copilot Cowork, and use data agents for specialized analysis. For more information, see [What is Fabric IQ?](../iq/overview.md) and [Fabric IQ in Microsoft 365 Copilot Chat](../iq/connectors/microsoft-365-copilot-overview.md).|

579606 | July 2026 | **Planning (Generally Available)** | [Planning in Fabric IQ (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Enterprise-planning-to-the-AI-Era-with-Planning-in/ba-p/5326315) is a unified no-code platform for collaborative planning, reporting, analytics, data integration, and management. For more information, see [What is planning in Fabric?](../iq/plan/overview.md) |

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