Raw Query vs AI Query

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.

AI Query writes SQL from plain English prompts and explains existing queries back in everyday language. You define your database schema in the dashboard, describe what data you need, and the tool returns queries tuned to PostgreSQL, MySQL, BigQuery, Snowflake, Oracle, and other supported engines. Analysts and developers who know the business question but not the syntax use it to skip manual query drafting.

Unlike generic chatbots that guess table names, AI Query starts from schemas you upload and keeps a history of generated queries you can save and share. The SQL-to-English translator runs the other direction when you inherit a complex statement and need a readable breakdown. Yearly billing also advertises faster response speeds and priority feature access compared to monthly Pro.

Data teams, product managers, and junior developers are the core audience. The Pro plan unlocks unlimited generation, explanations, schema definitions, saved queries, and history through app.aiquery.co, with docs and an API for teams that want to embed the workflow.