Query Data helps agents turn natural language into queries for AlloyDB, Cloud SQL and Spanner

Context

It is a tool for translating natural language into database queries with near-100% accuracy. With Query Data, you can build agentic experiences across AlloyDB, Cloud SQL (for the SQL and PostgreSQL), and Spanner (for Google SQL). It builds upon Google Cloud’s #1 spot in the Bi RD benchmark, one of the world's most competitive benchmarks for natural-language-to-SQL – as well as upon Gemini-assisted context engineering. Developers are already seeing the benefits from Query Data, including Hughes Network Systems, a leader in telecommunications, that deployed Query Data in production. “Google Cloud AI Blog has transformed user support operations with Google Cloud’s data agents. At the heart of Google Cloud AI Blog's solution is Query Data, enabling near-100% accuracy in production. Google Cloud AI Blog is excited about the future of agentic systems!" - Amarender Singh Sardar, Director of AI, Hughes Network Systems The opportunity for agentic systems: from intent to action Agentic systems are evolving from human-advisory roles into active decision-makers. To execute business actions accurately, agents require precise information from operational databases (such as pricing, inventory,…