Side by side
JFrog ML Feature Store vs Red Hat OpenShift AI Feature Store
Both stand on feature store software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free trial APILinuxSelf-hosted+1
Choose JFrog ML Feature Store if your team needs reusable features with historical training retrieval and online inference values. Teams using streaming or real-time feature sets need a hybrid deployment, while SaaS supports batch feature sets.
Visit JFrog ML Feature Store Free trial Self-hostedWeb
Choose Red Hat OpenShift AI Feature Store if your team needs reusable machine-learning features within a self-managed OpenShift AI deployment. Teams seeking a priced-up-front option or an environment without Red Hat OpenShift should look elsewhere.
Visit Red Hat OpenShift AI Feature StoreThe facts
| JFrog ML Feature Store | Red Hat OpenShift AI Feature Store | |
|---|---|---|
| Free plan | Not published | Not published |
| Open source | Not published | Not published |
| Runs on | API, Linux, Self-hosted, Web | Self-hosted, Web |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 1 | 1 |
| Maker | Not published | Not published |
| Website | qwak.com | docs.redhat.com |
| On feature store software | #8 of 20 | #12 of 20 |
JFrog ML Feature Store: what it does well
- Reuse feature definitions across projects.
- Retrieve historical features for training and online values for inference.
- Connect to a broad set of documented batch data sources.
- Deploy on AWS, Google Cloud, Microsoft Azure, or customer infrastructure.
What to know first
- JFrog ML SaaS supports batch feature sets only.
- Streaming and real-time feature sets require hybrid deployment.
Red Hat OpenShift AI Feature Store: what it does well
- Supports online and offline feature stores.
- Includes point-in-time joins and feature monitoring.
- Provides an in-cluster REST API.
- Based on the open-source Feast project.
- Offers Standard (8x5) or Premium (24x7) support SLAs.
What to know first
- Requires Red Hat OpenShift for self-managed OpenShift AI.
- Pricing is on request.
- The 60-day trial is self-supported.
Alternatives to JFrog ML Feature Store Alternatives to Red Hat OpenShift AI Feature Store The whole list