- Tool type
- Feature store for ML pipelines
- Made for
- ML engineers and enterprise AI teams
- Runs on
- Self-hosted via Docker images
- Docker images on Docker Hub deployed by the customer; Redis serves as the online store.
What it does
Redis Feature Form helps machine learning teams define, manage, materialize, and serve features while keeping their existing data systems in place. Features are written as Python transformations, and databases, warehouses, and streams are registered as providers rather than migrated.
The same definitions drive training sets and online feature views. Teams can plan and validate changes with ff apply --plan, run impact analyses across pipelines, split materializations into discrete jobs, and trace execution with OpenTelemetry. Workspaces provide scoped permissions and isolated configurations, and changes are applied and rolled back at the graph level.
The product targets enterprise AI teams that want shared, versioned features across multiple models. Docker images are available on Docker Hub, but deployment requires a license key from the Redis account team, and the product is documented as preview and subject to change. Buyers should confirm Feature Form pricing with Redis before planning a rollout.
What it can do
- Define features and labels as Python transformations in version-controlled code
- Register databases, warehouses and streams as data providers without migration
- Materialize computed features on a schedule and push them to Redis for sub-millisecond serving
- Produce training sets and online feature views from one set of definitions
- Plan and validate changes with ff apply --plan and roll back at the graph level
- Trace execution with OpenTelemetry and keep audit logs of changes
Works with
- Snowflake
- Databricks
- Spark
- Postgres
- Feast
Before you choose
- The product is in preview and documented as subject to change
- Deployment requires a Redis license key from the account team
- Redis Cloud pricing applies to Redis databases, not to Feature Form itself
Listed under
Get started
Preview product; deployment needs a license key from the Redis account team. A demo can also be scheduled.
- Register your data providers and secrets in a workspace
- Author a definitions file that declares features in Python
- Run ff apply --plan to review changes, then apply them to materialize features
Plans and prices
Feature Form is obtained through Redis (license key from the account team or a sales demo); confirm its cost with Redis. The Redis Cloud rates on the pricing page apply to Redis databases, not Feature Form.
We couldn’t find published prices for Redis Feature Form.
Sources for this overview
Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.
- Redis Feature Form | Docs ↗redis.io
- Redis Feature Store ↗redis.io
- Pricing | Redis ↗redis.io
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No ratings for Redis Feature Form yet.
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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.