Tura

Tura is an AI first SQL editor that combines a database workspace with an AI pair programmer for writing, understanding, debugging, and analyzing SQL. It is built for data teams and developers who work directly with relational data and want database context available while they write queries. Tura can generate SQL, explain schemas, inspect relationships, and help turn database questions into executable work without forcing users to move between a chat assistant and a separate SQL environment. Users can start queries from natural language, ask questions about their schema, inspect tables and columns, and work through complex SQL with an AI assistant in the same editor. Tura also analyzes SQL for bugs and helps identify likely root causes, while dashboards and visualizations support the step from raw query results to usable analysis. The current product supports connected data sources and positions the editor as a place to move from database exploration to insights. Its main differentiation is the database aware workflow rather than a generic coding assistant pasted into a SQL editor. Tura says it does not store user data or logs on its servers, although it does store embeddings, so buyers should review its current privacy and security documentation before connecting sensitive databases. The public pricing page lists a free plan with 100 LLM calls and a Pro plan at $20 per user per month, while enterprise access is presented separately. Limits and supported data sources can change. For FutureStack, Tura belongs in Developer Tools because its primary job is helping people build and analyze database workflows. It is best for SQL development, schema exploration, query debugging, and turning database questions into repeatable analysis without leaving the database workspace.