Launching today
Thunderduck Inc.
Modular Data Warehouse for Agentic Data Teams
27 followers
Modular Data Warehouse for Agentic Data Teams
27 followers
Thunderduck is a DuckDB-powered data warehouse built for AI agents. Every agent gets its own isolated engine. Join Postgres, BigQuery, Iceberg and S3 files in one SQL query, with no ETL. Every query is priced before it runs. Managed cloud, BYOC or on-prem.
Free Options
Launch Team / Built With
Render Sandboxes: a computer for every agentRun untrusted code safely. Idle sandboxes cost nothing
Promoted
Hey Product Hunt 👋
We've built data platforms for years, and the first six months always went to the same thing: moving data from where it already lived into a warehouse that charged us rent for keeping it. Meanwhile DuckDB answered the same questions in seconds, on a laptop.
Now AI agents are joining data teams, and they make this worse. An agent will happily scan 400 GB to answer a simple question, because it never sees the bill.
So we built Thunderduck: a modular data warehouse on DuckDB, designed for humans and agents working side by side.
🦆 One engine per agent. Each agent or user gets its own isolated engine, sized to the query. No shared cluster, no noisy neighbors.
🔗 Query in place. Join Postgres, MySQL, BigQuery, ClickHouse, Iceberg, and files in S3, GCS, Azure or Cloudflare R2, all in one SQL query. Filters run inside each source.
💸 Guardrails. Every query gets a cost and runtime estimate before it runs, and access is scoped per person and per catalog.
🤖 Bring your own AI. Connect Claude, ChatGPT or Cursor over MCP. Agents find the right table, understand what the columns mean, and build dbt pipelines on a branch for your review.
☁️ Run it anywhere. Our cloud, your AWS or GCP account, or on-premise.
The first 2 query-hours each month are free.
A cost estimate before the query runs gives the agent something concrete to work with. Keeping that estimate beside the actual cost would help the team spot which queries need a closer look.