Red Hat OpenShift AI Feature Store
Red Hat OpenShift AI Feature Store: A broad, self-hosted feature store for Red Hat and hybrid-platform ML teams. Ranked #11 of 20 in Feature Store Software by our editors (7.9/10); pricing: Pricing on request; best for red Hat and hybrid-platform enterprises.
At a glance
- Editor score7.9 / 10
- PricingPricing on request
- Best forRed Hat and hybrid-platform enterprises
- Deployment modelSelf_hosted
- Founded1993 · Raleigh, North Carolina, United States
- Facts checked21 Sep 2026
Where it wins
- Supports online and offline stores with point-in-time joins
- Includes registries, lineage, search, entity management, and versioning
- Connects with BigQuery, Snowflake, Redis, Redshift, and DuckDB
Where it doesn't
- Deployment requires Red Hat OpenShift AI Self-Managed on OpenShift
- Feature Store is documented as a Technology Preview in OpenShift AI 2.25
- Commercial access follows a contact-sales model tied to OpenShift subscriptions
Our verdict on Red Hat OpenShift AI Feature Store
Red Hat OpenShift AI Feature Store is a feature-management component for ML platform, MLOps, data engineering, and AI engineering teams. It centralizes reusable feature definitions, connects them to online and offline stores, and supports both batch training and low-latency inference. The component combines a web UI, Python SDK, command-line interface, optional HTTP and gRPC feature servers, and deployment within Red Hat OpenShift AI Self-Managed on an OpenShift cluster.
Its strongest fit is an organization already standardizing on Red Hat and hybrid infrastructure. The feature store supports integrations with BigQuery, Snowflake, DynamoDB, Redis, Dask, Redshift, DuckDB, and GCP Datastore. Teams can define, read, and write features through the Python SDK, materialize features to online and offline stores, and use point-in-time joins for historical retrieval and training datasets. The web UI adds lineage, search, and entity management, while feature lineage and versioning monitoring support governance across reusable feature definitions.
The trade-off is platform dependence rather than feature breadth. Deployment requires OpenShift AI Self-Managed on an OpenShift cluster, and commercial access follows a contact-sales model with core-based or bare-metal subscription models and an underlying OpenShift subscription. Documentation describes Feature Store as a Technology Preview in OpenShift AI 2.25, while also presenting newer Feature Store releases. Choose it when self-hosting, Red Hat alignment, and combined training-and-serving workflows matter. A standalone feature-store buyer or a team seeking a product independent of the broader OpenShift AI platform should consider alternatives.
Your product? Our editors can test Red Hat OpenShift AI Feature Store in depth and publish a review, labelled as paid · from $149/mo →
Red Hat OpenShift AI Feature Store pricing
Red Hat OpenShift AI Feature Store fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Online store | Yes |
| Offline store | Yes |
| Point-in-time joins | Yes |
| Feature monitoring | Yes |
| Deployment model | Self_hosted |
| Serving modes | Both |
| Deployment | Self-hosted |
| Platforms | Web |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 8 integrations: BigQuery, Snowflake, DynamoDB, Redis, Dask, Redshift … |
| Pricing | Pricing on request (source) |
| Website | docs.redhat.com |
| Facts checked | 21 Sep 2026 |
Red Hat OpenShift AI Feature Store integrations
Red Hat OpenShift AI Feature Store lists 8 integrations on its own site.
- BigQuery
- Snowflake
- DynamoDB
- Redis
- Dask
- Redshift
- DuckDB
- GCP Datastore
Alternatives to Red Hat OpenShift AI Feature Store
- Hopsworks Feature StoreA governed feature store spanning training, serving, monitoring, and deployment.9.4
- FeastA broad, flexible feature store for teams managing training data and online inference.9.3
- ChalkAdvanced serving, versioning, and observability for production ML teams.9.0
See all Red Hat OpenShift AI Feature Store alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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