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Hi everyone

I’ve been working on Coomia DataGPT, a self-hosted AI copilot for data analysis. It lets you connect directly to databases like PostgreSQL, MySQL, Trino, and Doris, and ask questions in plain English — DataGPT automatically generates SQL, runs the query, and visualizes the results as charts or tables.

How it works

Connect your database (PostgreSQL, MySQL, Trino, Doris, etc.)

Ask questions in natural language (e.g., “Which product categories generated the most revenue last month?”)

DataGPT writes the SQL automatically

The query runs, and the result appears as an interactive chart

You can save and share queries with your team

It’s fast, private, and self-hosted — built for teams that want AI analytics without sending data to external APIs.

Tech Stack

Backend: Python + FastAPI

Frontend: React + TypeScript

LLM: OpenAI / local model options

Databases: PostgreSQL, MySQL, Trino, Doris, Clickhouse

Deployment: Docker (one line to start)

Why self-hosted?

We wanted a data copilot that doesn’t require sending your sensitive data to the cloud. Coomia DataGPT runs entirely in your environment, giving you full control over security and performance.

Try it

https://coomia.com/docs.html

You can see a short demo video here: https://youtu.be/8opQUD109mY

I’d love your feedback — especially on:

usability and latency

SQL generation quality

database connection setup

what integrations you’d like to see next

Thanks for reading! — The Coomia Team



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