Feast vs Hopsworks Feature Store
No leader: the top candidate Feast has only 0.28 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for feature stores. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Feast
A framework that manages feature data pipelines and serves structured features to machine learning models during both training and real-time inference at scale.
Hopsworks Feature Store
Provides centralized management of ML features, model artifacts, and deployment. Supports batch and real-time inference pipelines with flexible deployment options including cloud SaaS, on-premises, and air-gapped Kubernetes clusters.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Hopsworks Feature Store
Free tier (1 project). SaaS usage-based pricing. Custom Enterprise plans.
- FreeFree
- 1 project
- Feature Store
- Model Registry
- Community support
- SaaSUsage-based pricing
- Unlimited projects
- Model Serving
- Platform SLA
- EnterpriseContact sales
- All SaaS features
- On-premise & air-gapped deployment
- Dedicated support
- Custom integrations
- SLA guaranteed
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Apache Iceberg
Feast
- Databricks
- Snowflake
- AWS Glue
- AWS EMR
- Unity Catalog
- Hadoop
- DynamoDB
- Redis
- PostgreSQL
- MySQL
- MongoDB
- Milvus
- ClickHouse
- FAISS
- Apache Spark
- MLflow
- OpenLineage
- dbt
- Amundsen
- DataHub
Hopsworks Feature Store
- Amazon AWS (EKS)
- Google Cloud Platform (GKE, Marketplace)
- Microsoft Azure (AKS)
- OVHCloud
- Kubernetes
- Delta Lake
- Apache Hudi
- Great Expectations
- Slack
- Ray
- KServe
- vLLM
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.