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Redis Feature Form
Redis Feature Form is a managed feature store platform that helps ML teams define, govern, orchestrate, and serve real time features for production machine learning.
About Redis Feature Form
Redis Feature Form is an enterprise feature store platform for production machine learning. It helps teams define ML features as code and convert those definitions into production grade data pipelines for model training and inference.
The platform orchestrates between offline data systems and real time serving. It works with existing data stacks such as Snowflake, Databricks, Spark, and Postgres while using Redis as the online store for low latency feature retrieval.
Redis Feature Form is designed for enterprise AI and ML teams that need reusable features, governed pipelines, workspace isolation, versioning, lineage, observability, and secure access controls across multiple teams.
Key Features
- Feature Definitions as Code: Define features once and use them for both model training and inference.
- Real Time Serving: Use Redis as an online store for low latency feature retrieval in production.
- Pipeline Orchestration: Turn feature definitions into computation across offline data systems and real time stores.
- Workspace Isolation: Run multiple ML teams with scoped access, isolated providers, and independent observability.
- Versioning and Lineage: Track how features evolve and understand which models depend on them.
- Enterprise Security: Use workspace scoped RBAC, API key pairs, audit logs, mTLS, encrypted transport, and secret providers.
Pricing
Redis does not publish dedicated Redis Feature Form pricing packages on the provided product and launch pages. The official page provides options to start for free, schedule a demo, or talk to sales.
Pricing last updated: April 27, 2026 at 12:00 AM
Use Cases
- Real time feature serving for production ML models
- Fraud detection and risk scoring
- Personalization and recommendation systems
- Governed feature pipelines for enterprise ML teams
Pros & Cons
Pros:
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Supports the full feature lifecycle from definition to serving
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Works with existing data platforms such as Snowflake, Databricks, Spark, and Postgres
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Provides enterprise controls such as workspaces, RBAC, audit logs, and encrypted transport
Cons:
- Public pricing details are not listed on the provided pages
- Best suited for teams already running production ML workflows
Integrations
Snowflake, Databricks, Spark, Postgres, Redis, Feast, Apache Iceberg, OpenTelemetry
FAQ
What is Redis Feature Form?
Redis Feature Form is a managed feature store platform for production machine learning. It helps teams define, manage, orchestrate, govern, and serve ML features across training and inference workflows.
What is Redis Feature Form used for?
It is used to build and manage feature pipelines, keep feature definitions consistent, serve real time features to models, and reduce drift between training and production environments.
Does Redis Feature Form support real time feature serving?
Yes. Redis Feature Form uses Redis as an online store to keep features available for low latency retrieval in production ML systems.
Which data systems does Redis Feature Form work with?
The official Redis page mentions integrations with Snowflake, Databricks, Spark, Postgres, Redis, Feast, Apache Iceberg, and OpenTelemetry related workflows.
Is Redis Feature Form built for enterprise teams?
Yes. It includes workspace scoped access, multi tenancy, audit logs, API key pairs, model roles, mTLS, encrypted transport, and independent observability per workspace.
What are atomic DAG updates in Redis Feature Form?
Atomic DAG updates allow graph level changes to be planned, applied, and rolled back consistently, which helps teams avoid partially applied changes in production feature pipelines.
Does Redis Feature Form help reduce training and serving drift?
Yes. Redis states that Feature Form helps teams define features once and use the same feature definitions across training and inference, which helps reduce drift.
Is Redis Feature Form pricing public?
No dedicated pricing packages are listed on the provided official pages. Redis directs users to start for free, schedule a demo, or talk to sales.
Last edited
September 29, 2026 at 6:31 PM by Venkatraman C
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