Who supports Ibis?
Ibis is an open-source project that welcomes contributions from anyone! We have a growing community of users and contributors, and we’d love to have you join us. If you’re interested in contributing, please see our contributing guide.
Voltron Data
Voltron Data is the primary sponsor of Ibis, with most of the core development team employed there. This includes nine full-time developers, one technical product manager, and other staff who contribute to Ibis.
Check out the blog post on why Voltron Data supports Ibis.
Other companies
Ibis is used by many other companies, with various tools built on top of it. Some include:
- Google BigQuery DataFrames, a clone of the pandas API built on Ibis
- Starburst Galaxy Python DataFrames, with support for Ibis
- Claypot AI’s contribution of the Flink backend, working in collaboration with Voltron Data
- Microsoft’s Magpie project, built on top of Ibis
- Superduper, bringing AI to any backend Ibis supports
Ibis is also contributed to by other companies. You can look through the full list of contributors on GitHub.
History
Ibis was originally created by Wes McKinney. Wes created pandas, co-created Apache Arrow, and co-founded Voltron Data (among other things). Ibis was initially a pandas-like dataframe library for Apache Impala, but has since grown to support many other backends and mature under the stewardship of Phillip Cloud and others on the Ibis team.
The Ibis project is part of a broader composable data ecosystem envisioned by Wes, Voltron Data, and others to solve problems seen throughout the space that are compounding as data volume and AI complexity increase. Some good background material on the composable data ecosystem and Ibis can be found at:
Support for production workloads
Voltron Data is committed to the success of Ibis, and it’s already in production across numerous enterprises. The API is stable and while there are breaking changes across major versions, we do our best to minimize them and provide easy migration.
Voltron Data offers commercial support for Ibis if you’re interested. Otherwise, interacting through the open-source project channels (GitHub and Zulip) is the best way to get help.
Next steps
If you’re interested, get started with Ibis!