StrataQL turns natural language into precise SQL queries — trained on your schema, your indexes, your data. No more context-switching between SQL docs and your editor.
StrataQL ingests your database schema, foreign keys, and index structure to generate SQL that runs efficiently — not just SQL that runs. Built-in awareness of multi-table joins, window functions, and CTEs.
While generic text-to-SQL tools struggle past 20 tables, StrataQL is built for production warehouses with hundreds of tables. Hierarchical schema indexing focuses the model only on relevant context per query.
Every generated query comes with a plain-English explanation of what it returns, an estimated row count, and an EXPLAIN plan preview. See exactly what your query will do before you hit run.
StrataQL is a small team based in Riga, building developer tooling for data engineers, analysts, and engineering teams who live in SQL. We started StrataQL after watching skilled engineers waste hours each week translating business questions into correct SQL across complex production schemas.
We believe the next generation of data tooling needs to understand context — your schema, your indexes, your conventions — as first-class concerns. StrataQL is our first product toward that vision.
Built with Amazon Bedrock and Claude.
Contact: founders@strataql.xyz