Head-to-head · Feature Store Software
Hopsworks Feature Store vs Feast
Hopsworks Feature Store leads on 0 checks, Feast on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreHopsworks Feature Store · 9.4/10
- Free planonly Hopsworks Feature Store
Hopsworks Feature Store scores higher on our rubric for feature store software: 9.4 against 9.3 out of 10; our editors rank them #1 and #2.
Hopsworks Feature Store is the better fit for organizations needing governed feature operations. Feast is the better fit for teams wanting a broad open-source feature store.
- Hopsworks Feature Store fits best
Organizations needing governed feature operations
- Feast fits best
Teams wanting a broad open-source feature store
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Side by side
| Feature | Hopsworks Feature Store 9.4/10 Visit ↗ | Feast 9.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.3 |
| Ranking | #1 in Feature Store Software | #2 in Feature Store Software |
| Best for | Organizations needing governed feature operations | Teams wanting a broad open-source feature store |
| Pricing model | Free plan + paid | Free |
| Starting price | — | Open source |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Community, Docs | Community, Docs |
| Integrations | 19 integrations | 20 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Hopsworks Feature Store 4/4 · Feast 4/4 | ||
| Online store | ✓ | ✓ |
| Offline store | ✓ | ✓ |
| Point-in-time joins | ✓ | ✓ |
| Feature monitoring | ✓ | ✓ |
| Specs | ||
| Deployment model | Both | Both |
| Serving modes | Both | Both |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Hopsworks Feature Store is a feature management platform for data scientists, data engineers, and machine learning teams. It brings online storage for low-latency serving together with offline storage for training and batch inference. The… Read the review → |
Feast is an open-source feature store for machine-learning and AI applications. It manages feature definitions and connects historical offline stores with online stores used for low-latency inference. Teams can use it locally, in… Read the review → |
Strengths and trade-offs
Hopsworks Feature Store — where it wins
- Online and offline stores support serving, training, and batch inference.
- Point-in-time-correct data generation helps align historical training data.
- Hosted and self-hosted deployment includes cloud, on-premises, and air-gapped options.
Where it doesn't
- The Free plan includes only 1 project.
- Free and SaaS plans provide community support rather than dedicated support.
- Enterprise features such as air-gapped deployment require the Enterprise plan.
Feast — where it wins
- Supports both offline training data and low-latency online serving
- Combines point-in-time joins, materialization, and batch or streaming ingestion
- Works with major warehouses, databases, processing engines, and serving stores
Where it doesn't
- Infrastructure-oriented rather than a vendor-hosted SaaS product
- Deployment and operations require decisions across stores and environments
- Community and documentation are the listed support channels
- Hopsworks Feature Store9.4/10 · Free plan
A governed feature store spanning training, serving, monitoring, and deployment.
Visit HopsworksFull verdict → - Feast9.3/10 · Open source
A broad, flexible feature store for teams managing training data and online inference.
Visit FeastFull verdict →
More comparisons
- Hopsworks Feature Store vs Chalk
- Hopsworks Feature Store vs Databricks Feature Store
- Hopsworks Feature Store vs Snowflake Feature Store
- Hopsworks Feature Store vs Chronon
- Hopsworks Feature Store vs Feathr
- Hopsworks Feature Store vs OpenMLDB
- Feast vs Chalk
- Feast vs Databricks Feature Store
All feature store software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update




