Feast
6.1#3 in feature store softwareFree planFree planWebAPILinuxSelf-hosted
VisitFeast vs OpenMLDB
What both publish
| Fact | Feast | OpenMLDB |
|---|---|---|
| Community support | The Feast homepage invites users to join its Slack community for support from Feast developers. | The project directs users to GitHub Issues for bug reports and feature requests, GitHub Discussions, Slack, and a developer mailing list. |
| What it does | Feast is an open-source feature store that delivers structured data to AI and LLM applications for training and inference. | OpenMLDB is an open-source machine learning database and feature platform for consistent features in training and inference. |
Feast plans
- FeastFree
OpenMLDB plans
- OpenMLDBFree
Pick Feast if…
Feast is designed for data scientists, MLOps engineers, data engineers, and AI engineers managing features for AI or machine-learning applications. It suits teams that need batch and real-time serving or point-in-time-correct training data.
Pick OpenMLDB if…
OpenMLDB may suit teams building SQL-based feature-engineering workflows for machine learning training and inference. The standalone version is intended for evaluation and demonstrations, while the cluster version is aimed at large-scale production applications.