QueryPlane

About QueryPlane

QueryPlane is an AI-native workspace for building internal data tools on top of an existing warehouse rather than exporting to a spreadsheet. It connects to Postgres, MySQL, Snowflake, BigQuery, Databricks and ClickHouse, reads the schema, and then lets a team generate SQL from plain English, scaffold dashboards, and compose admin interfaces without writing frontend code. The AI layer is schema-aware, which is the distinguishing claim: suggestions and generated queries are grounded in the actual tables and columns of the connected database instead of being produced from the prompt alone. Model choice is left to the customer, with Gemini, OpenAI and Anthropic families all selectable. Alongside the generated work there is a conventional SQL editor with autocomplete, syntax highlighting and instant results, so the output of a prompt can be inspected and edited rather than accepted blind. Charts cover tables, line, bar and pie, wired directly to a saved query. Internal apps are assembled from drag-and-drop forms and tables backed by the live schema. For teams that cannot send data to a vendor, QueryPlane ships a self-hosted deployment documented for Docker, Kubernetes, Terraform, Helm and Nginx, with the stated guarantee that no data leaves the customer's infrastructure. Version history, role-based access control, shareable app links and viewer-only users cover the collaboration side, and JavaScript transforms and read-only mode are available for the cases where generated SQL is not enough.

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