Raw Query vs Avanty

Raw Query lets you chat with Postgres, MySQL, and MariaDB using plain English instead of writing SQL by hand. Paste a database connection string, ask questions like who joined your Pro plan last week, and Raw Query returns answers or CSV exports from a browser or mobile device.

Compared with BI dashboards that need setup and SQL clients that assume query fluency, Raw Query targets quick ad hoc questions from founders and analysts. Postgres connections support inserts and updates with confirmation prompts, while MySQL and MariaDB connections focus on read queries, so teams on Postgres get broader write access.

Raw Query fits solo founders, developers avoiding one-off internal tools, and BI users who want answers without learning SQL syntax. The free plan includes 300 successful queries per month across two databases, and paid tiers raise query limits, seats, and support priority up to unlimited seats on the Team plan.

Avanty sits inside Metabase as a Chrome extension and writes SQL from plain English prompts. It reads your connected schema, drafts queries in the editor, and explains existing SQL step by step so analysts spend less time fighting syntax.

Generic SQL copilots work in a blank editor. Avanty is scoped to Metabase: it knows your tables, respects custom schema names like datawarehouse.users, and opens from a command panel with Cmd Shift period on macOS or Ctrl Shift period on Windows. An inline diff viewer shows proposed edits before you accept them.

Data analysts and analytics engineers who live in Metabase get the most from Avanty. Business questions that used to mean a Slack ping and a half-written query can start as a natural language prompt, land in Metabase as a draft question, and move through review faster. A preview Slack integration even surfaces matching Metabase questions from channel messages.