QueryForge
Natural language, native SQL
Translate plain English into precise, optimized SQL across any database. Handles complex joins, aggregations, and cross-database queries with context awareness.
97.3%
Query accuracy
<200ms
Avg response time
12+
Dialects supported
Optimized
Tokens per query
Capabilities
What QueryForge does
Use cases
Where teams use QueryForge
Self-serve analytics
Empower PMs and operators to answer their own questions without bottlenecking the data team. Every query is schema-validated before it runs.
Cross-database joins
Federate queries across Postgres, Snowflake, and BigQuery in a single prompt. QueryForge plans the most efficient execution path.
Onboarding new engineers
New hires learn your schema by asking questions. QueryForge surfaces table relationships and example queries on demand.
FAQ
Common questions
Does QueryForge ever hallucinate columns?
No. QueryForge runs a deterministic schema validation step before producing SQL. If a column doesn't exist, you get a clarifying question instead of a wrong query.
Can I review queries before they execute?
Yes. Every generated query can be inspected, edited, and saved. You can also configure read-only mode for production environments.
Does it work with our existing BI tool?
QueryForge has integrations for Metabase, Hex, Mode, and Looker, plus a REST API for custom integrations.
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