The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say.

SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

I've been playing around with the new Microsoft service, currently in preview and it's time to show off what it can do. Have you ever struggled with a database performance problem or ever struggled to ...

Google is now routing complex queries in AI Overviews to its most capable model, Gemini 3 Pro, while faster models continue handling simpler searches. The intelligent routing system, which Google ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

Multiple Detail Records - 4 in this case. (linked to the header record) Multiple Inventory Records - again, 4 - (each detail record points to one specific inventory record, but the inventory may be ...