The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

Oracle has launched new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and ...

Oracle today announced new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and scale secure agentic AI applications that are suitable for full-scale ...

A browser-native SQL playground powered by DuckDB-Wasm. Drag & drop CSV, Parquet, JSON, or Excel files — write SQL, visualize results, and share with a link. No server, no account, no install. You ...

This is a comprehensive modernization and enhancement of the original json-sql library, featuring: ...

SQL Server supports quicker deployment across enterprise tools through integration services and hybrid system support. Oracle Database is structured to manage large-scale workloads using features that ...

The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...

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Google's John Mueller questions the need to create markdown pages for LLMs. LLMs already handle normal HTML. He suggests better AI performance is unlikely to come from file format alone. Google's John ...