Comparison

Feathr vs Hopsworks Feature Store

On the evidence we track, Feathr leads this comparison with a composite score of 52/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Feathr52
Hopsworks Feature Store43
Score
Vioscale score
Feathr52 / 100low · 35%updating
Hopsworks Feature Store43 / 100low · 26%updating
Pricing
Free tier
Feathr
Hopsworks Feature Store
Model
Hopsworks Feature Storefreemium
Price level
Feathrfree
Hopsworks Feature Storelow
Transparent
Feathr
Hopsworks Feature Store
Integrations
Count
Feathr6
Hopsworks Feature Store13
Adoption
Dependent repos
Feathr1
Hopsworks Feature Store
Github stars
Feathr1,938
Hopsworks Feature Store
Activity
Commits last 30d
Feathr0
Hopsworks Feature Store
Release
Cadence days
Feathr22
Hopsworks Feature Store
History
Feathr15 items
Hopsworks Feature Store
License
Spdx
Hopsworks Feature Store
Language
Primary
FeathrScala
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
Feathr
Hopsworks Feature Store-
Feature registry catalog
Feathr
Hopsworks Feature Store-
Streaming features
Feathr
Hopsworks Feature Store-
On demand transforms
Feathr
Hopsworks Feature Store-
Deployment model
FeathrSelf hosted
Hopsworks Feature Store-
Drift monitoring
Feathr
Hopsworks Feature Store-
Embeddings vector support
Feathr
Hopsworks Feature Store-
Multi cloud
Feathr
Hopsworks Feature Store-
RBAC governance
Feathr
Hopsworks Feature Store-
Lineage tracking
Feathr
Hopsworks Feature Store-
Pricing model
FeathrOpen source self host
Hopsworks Feature Store-

What each one is

The product in its own terms, so the numbers below have context.

Feathr

Leader

A data engineering framework that enables teams to build feature transformations, register and catalog them centrally, and compute them correctly for AI training and production inference. It provides batch and streaming feature computation with integration to Databricks, Azure Synapse, and other data platforms.

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.

Feathr

Leader
Open sourceFree tier

Open source

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

Integrations

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

Feathr

Leader
6 total
  • Databricks
  • Azure Synapse
  • HDFS
  • Snowflake
  • PySpark
  • Spark SQL
Independently observed

Hopsworks Feature Store

13 total
  • Amazon AWS (EKS)
  • Google Cloud Platform (GKE, Marketplace)
  • Microsoft Azure (AKS)
  • OVHCloud
  • Kubernetes
  • Apache Iceberg
  • 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.