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AI · May 15, 2024

OS

Open-source BI and analytics for engineers

We are building Quary (https://quary.dev), an engineer-first BI/analytics product. You can find our repo at https://github.com/quarylabs/quary and our website at https://www.quary.dev/. There’s a demo video here: https://www.youtube.com/watch?v=o3hO65_lkGU As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up…

In plain words

Quary is an open-source business intelligence and analytics platform designed for engineers. It brings standard software development practices like version control, testing, and CI/CD to analytics workflows, allowing users to work within familiar tools like Git and code editors. The product addresses frustrations with traditional self-serve BI platforms by integrating with multiple data sources and eliminating the need to abandon local development environments.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

We are building Quary (https://quary.dev), an engineer-first BI/analytics product. You can find our repo at https://github.com/quarylabs/quary and our website at https://www.quary.dev/. There’s a demo video here: https://www.youtube.com/watch?v=o3hO65_lkGU As engineers who have worked on data at startups and Amazon, we were frustrated by self-serve BI tools. They seemed dumbed down and they always required us to abandon our local dev tools we know and love (e.g. copilot, git). For us and for everyone we speak to, they end up being a mess. Based on this, we decided there was a need for engineer-oriented BI and analytics software. Quary solves these pain points by bringing standard software practices (version control, testing, refactoring, ci/cd, open-source, etc.) to the BI and analytics workflow. We integrate with many databases, but we’re showcasing our slick Supabase integration, because it: (1) keeps your data safe by running on your machine without data flowing through our servers; and (2) enables you to quickly build an analytics layer on top of your Supabase Postgres instances. Check out our Supabase guide: https://www.quary.dev/docs/quickstart-supabase What we’re launching today is open source under the Apache 2.0 license. We plan to keep the developer core open source and add paid features like a web platform to easily share data models (per-seat pricing), and an orchestration engine to materialize your data models. Please try Quary at https://quary.dev and let us know what you think! We're excited to put the power of BI and analytics into the hands of engineers.

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