SQL is still the connective tissue of every modern data stack—from cloud warehouses to mobile apps. Recruiters know it, too: employer demand for SQL skills grew 46% year-over-year, according to labour ...

You click Create A UUID, an API key (once), and an S3 prefix appear. The universe assigns you a namespace. You run SELECT 1 distributed-sqlite talks to S3 like it’s ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. The Microsoft Security Response Center has confirmed that a SQL Server elevation of ...

Abstract: This paper presents SSL-S3, a novel approach that revisits SQL Statement Logging to fully exploit the newly introduced S3 append feature. When a transaction commits, SSL-S3 captures update ...

Overview Want to work with SQLite databases via the same kind of workbench tools available for MySQL/MariaDB and PostgreSQL? These three projects — a desktop application, a web-based app, and a Visual ...

What if the database you rely on could handle writes four times faster without sacrificing simplicity or reliability? For years, SQLite’s single-writer limitation has been both its strength and ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...

Google refused to share any details on how its Big Sleep AI foiled efforts to exploit a SQLite vulnerability in the wild. Google says its Big Sleep AI agent recently discovered a critical SQLite ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Abstract: Text-to-SQL is one of the most prominent areas where Large Language Models (LLMs) have seen extensive application. While Text-to-SQL systems using LLMs and pre-trained deep learning models ...