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Today, we are announcing the general availability of DiskANN Vector Index & Search across Azure SQL Database, Azure SQL Managed Instance with the always-up-to-date update policy, and SQL database in Microsoft Fabric. DiskANN brings scalable approximate nearest-neighbor search directly to the SQL engine. Developers can store vectors alongside...

Live From Barcelona Woo! I’m posting this live from the first ever European SQLCon (joint conference with FabCon EU), and the second ever SQLCon. The energy here is great, as the community comes together in Barcelona and as we prepare to go on the keynote stage and share what’s new! A heartfelt nod to the internal team, our customers, and the comm...

Why production AI retrieval depends on more than vector index performance.  It's easy to think of AI retrieval as a vector search problem. For many developers, the first conversation starts with vector index benchmarks: How many queries per second can it handle? What's the latency? What's the recall? How well does it scale? Those metrics are ...

We’re halfway through 2026, and Microsoft SQL has not slowed down. Since SQLCon/FabCon in March (where we released a ton of things, and those updates can be found in this updates video), we shipped a wave of updates across SQL Server, Azure SQL, and SQL database in Fabric, with Microsoft Build 2026 as the centerpiece. If you want the details on Bui...

If you work with Microsoft SQL regularly, the AI conversation right now probably feels a little exhausting. Every week brings a new platform, a new pattern, a new opinion about how you’re “supposed” to build AI apps. Most of it assumes you’ll start over. You don’t have to. We’re running SQL AI App in a Day workshops with Microsoft partners ar...

The Agent-Ready Database: Security, Backup, and MCP Part 4 of 4 – The Multi-Model Database Series This is the final post in a four-part series on multi-model databases in SQL Server 2025 and Azure SQL - exploring how the optimizer, storage engine, and security layer treat each data model as a first-class citizen under one roof. In Part 1: The ...

Remember when we announced the Public Preview of DiskANN vector indexes back in November and mentioned that once you created the index, your table became read‑only? Yeah… about that... 😅 We shipped early because the demand for Vector search in SQL was overwhelming. We knew the constraints weren’t ideal, but we also knew the fastest way to get this ...

When JSON Met Graph Part 2 of 4 - The Multi-model Database Series A note on naming. Throughout this series, when we say "SQL Server 2025" we also mean Azure SQL. The multi-model capabilities we discuss - native JSON, graph, vector, and columnstore - are available across both the on-premises engine and the Azure SQL family. In Part 1 we des...

Part 1 of 4 - The Multi-model Database Series This is a four-part series about what happens when a single database engine handles relational, document, graph, vector, and analytical workloads natively - and what you stop paying for when it does. You spin up a database, point an agent at it, and start building. The first few tables go fast - use...

TrackAbout is a worldwide provider of SaaS applications for tracking reusable, durable, physical assets like chemical containers and gas cylinders. With over 22 million physical assets tracked across 350 customers, each with their own Azure SQL database, optimizing our infrastructure for both cost and performance is a critical, ongoing mission....