SQLite 3.54 delivers a 4% performance boost, query planner optimizations, command-line improvements, and new database analysis capabilities.

"This has become much faster."I write that in the Pull Request description and ask for a review.The cause was the search on the list screen. As the data increased, the display became sluggish, and ...

If you've just started writing SQL Server queries, there's a good chance you probably wrote a query, saw it return the right ...

Recently, a model called 'Jev' released by TypeSafe AI has been attracting attention in the developer community. Home - ...

Enterprise AI pilots may encounter difficulties not only when a model generates incorrect SQL, but also when teams lack visibility into those errors or must grant the agent broad access to test its ...

In the modern data landscape, query performance tuning and managing system price-performance is challenging, especially as the number of agentic workloads increase. Even for experienced developers and ...

SQL Server DBA specializing in performance tuning and disaster recovery. Bad code rarely begins the cascade of most SQL Server performance problems. Typically, it begins with something that is much ...

For years, we’ve steered Snowflake under a simple principle: Performance should improve on its own. As workloads grow and evolve, engineers shouldn’t need to reconfigure storage, manage compute or ...

Text-to-SQL (Text2SQL) is a foundational capability for natural language interfaces with structured data. By translating user queries into executable SQL, it empowers analysts, business users and AI ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL extension for Visual Studio Code. Microsoft recently ended support for Azure Data ...

As SQL Server 2016 approaches end of support in July 2026, a look back at its groundbreaking innovations reveals how it reshaped Microsoft's data platform and why it's time to move forward. As I've ...

Abstract: Recent work has shown that fine-tuning LLMs with synthetic data improves text-to-SQL performance. However, synthetic data for in-context learning (ICL) remains underexplored. Existing data ...