Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring (Generally Available)
Learn about the GA announcement for Cosmos DB in Microsoft Fabric and all of its amazing capabilities.
December 16, 2025 by Alex Powers 237,213 Views
As 2025 ends, we’re taking a moment to reflect on Microsoft Fabric’s second year in the market and the collective progress made alongside our community, customers, and partners. What began as a unified vision for data and AI has grown into a platform adopted by more than 28,000 organizations worldwide, anchored by OneLake and shaped …
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Learn about the GA announcement for Cosmos DB in Microsoft Fabric and all of its amazing capabilities.
Data silos slow innovation. Mirroring in Microsoft Fabric eliminates those barriers by bringing operational data into OneLake without complex ETL pipelines. The result, near real-time AI and BI insights, unified governance, and a single source of truth across your organization – all at no cost! What’s Generally Available and why it matters: SQL Server 2016-2022 & SQL Server 2025 (Generally Available) Native mirroring for SQL Server …
By Ulrich Christ, Wilson Lee, Linda Wang, and Ye Xu Microsoft Fabric offers advanced data integration features that set it apart within the industry. Through features like shortcuts and Mirroring, it enables zero-ETL approaches to data unification. Fabric Data Factory provides the industry’s largest, most widely adopted data integration capability offered as a single, cohesive …
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Customer-managed keys in Fabric SQL Database – a major step forward in empowering organizations to take control of their data security and compliance. Why customer-managed keys matter Microsoft Fabric already encrypts all data-at-rest using Microsoft-managed keys. But for organizations with strict data governance policies or regulatory requirements, CMK offers an additional layer of control and …
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Transform your data with AI in an instant by using Fabric AI functions. These powerful functions allow you to turn data into insights with just a single line of code. ai.analyze_sentiment() – detect emotional state ai.classify() – categorize according to your labels [NEW] ai.embed() – convert text into vector embeddings ai.extract() – extract specific types …
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