Comparison

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.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Feast56
Hopsworks Feature Store43
Score
Vioscale score
Feast56 / 100low · 28%
Hopsworks Feature Store43 / 100low · 26%
Pricing
Free tier
Feast
Hopsworks Feature Store
Model
Hopsworks Feature Storefreemium
Price level
Feastfree
Hopsworks Feature Storelow
Transparent
Feast
Hopsworks Feature Store
Integrations
Count
Feast21
Hopsworks Feature Store13
Adoption
Dependent repos
Feast140
Hopsworks Feature Store
Github stars
Feast7,230
Hopsworks Feature Store
Activity
Commits last 30d
Feast73
Hopsworks Feature Store
Release
Cadence days
Feast25
Hopsworks Feature Store
History
Hopsworks Feature Store
License
Spdx
Hopsworks Feature Store
Language
Primary
FeastPython
Hopsworks Feature Store
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for feature stores. “-” means undocumented, not absent.

Capabilities
Point in time correctness
Feast-
Hopsworks Feature Store-
Feature registry catalog
Feast-
Hopsworks Feature Store-
Streaming features
Feast-
Hopsworks Feature Store-
On demand transforms
Feast-
Hopsworks Feature Store-
Deployment model
Feast-
Hopsworks Feature Store-
Drift monitoring
Feast-
Hopsworks Feature Store-
Embeddings vector support
Feast-
Hopsworks Feature Store-
Multi cloud
Feast-
Hopsworks Feature Store-
RBAC governance
Feast-
Hopsworks Feature Store-
Lineage tracking
Feast-
Hopsworks Feature Store-
Pricing model
Feast-
Hopsworks Feature Store-

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.

Independently observed

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.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Feast

Open sourceFree tier
as of verify ↗

Hopsworks Feature Store

HybridFree tier

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
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Feast
Hopsworks Feature Store
CLI
Feast
Hopsworks Feature Store
Deployment
Cloud / SaaS
Feast
Hopsworks Feature Store
Self-hosted
Feast
Hopsworks Feature Store
On-premise
Feast
Hopsworks Feature Store
Hybrid
Feast
Hopsworks Feature Store
Air-gapped
Feast
Hopsworks Feature Store

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • Apache Iceberg

Feast

21 total - 20 not shared
  • Databricks
  • Snowflake
  • AWS Glue
  • AWS EMR
  • Unity Catalog
  • Hadoop
  • DynamoDB
  • Redis
  • PostgreSQL
  • MySQL
  • MongoDB
  • Milvus
  • ClickHouse
  • FAISS
  • Apache Spark
  • MLflow
  • OpenLineage
  • dbt
  • Amundsen
  • DataHub
Independently observed

Hopsworks Feature Store

13 total - 12 not shared
  • Amazon AWS (EKS)
  • Google Cloud Platform (GKE, Marketplace)
  • Microsoft Azure (AKS)
  • OVHCloud
  • Kubernetes
  • Delta Lake
  • Apache Hudi
  • Great Expectations
  • Slack
  • Ray
  • KServe
  • vLLM
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.