Showing archive results for 2026

Bob Ward and I recently released a series of videos, read more in the original blog post or go directly to the series on YouTube. The Azure SQL Database Foundations series are four videos that take you from your first Hyperscale database to AI features running against your own operational data. We also included how to assess and migrate (with AI...

If you’ve been building local prototypes, internal tools, web backends, or lightweight services on SQL Server Express, you know the routine: it’s free, familiar, and gets the job done – until you hit hardware limits or spend weekends manual backup scripts and handling OS patches. Learn how to upgrade from SQL Server Express to Azure SQL Database fr...

Writing and maintaining SQL is easier when you can eliminate repetitive steps and keep your scripts cleanly formatted. With the MSSQL extension for VS Code v1.45, we're introducing the Public Preview of the SQL Formatter alongside the General Availability of Azure SQL Database Provisioning and Shortcuts Configuration. You can now apply consistent T...

Hybrid search is usually described as combining keyword search with vector search. Microsoft SQL does that, for sure, but we do quite a bit more right out of the box. SQL dynamically evaluates queries and switches between kNN and ANN vector search based on cost and selectivity. These two types of hybrid search, work together, ensuring your semantic...

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 ...

BlockOnPossibleDataLoss can frustrate developers, but it's one of the most important safeguards in database deployment. Here's how to keep your local development loop fast while protecting the data that matters.

As app developers, our primary focus is building great user experiences, designing APIs, and shipping features quickly. What we don't want is database friction—wasting hours configuring local DB instances, writing verbose migration scripts by hand, or worrying about unexpected cloud bills while prototyping. Today, we are making database developm...

SQL database projects are a fundamental tool for keeping your database in source control, tracking changes and collaborating on quickly evolving database needs. Not to be forgotten, their superpower is being able to dynamically generate deployment scripts that match the declared state and the exact environment you're deploying to. SQL project devel...

Big news: Azure SQL Developer is here, in private preview. It's the Azure SQL Database engine, on your laptop, in a container. Build against the exact engine you run in the cloud. Ship the same code to Azure. Change one line, the connection string, and you're in production. Free for local dev and CI. No subscription. No credit card. No catch. Run i...

Often in applications, we write database queries. And often, the same query is executed again and again. To make queries against large tables faster, we can add an index. This is a general improvement for anyone accessing the table. However, there is a specially designed index called a covering index that can make queries against large tables parti...