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Head-to-head · Feature Store Software

Hopsworks Feature Store vs OpenMLDB

  • Updated Oct 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Hopsworks Feature Store #1 in Feature Store Software 9.4/10 Free plan Free plan✓ 4 of 4 features Visit Hopsworks
OpenMLDB #8 in Feature Store Software 8.4/10 Open source ✓ 4 of 4 features Visit OpenMLDB

Hopsworks Feature Store leads on 0 checks, OpenMLDB 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 8.4 out of 10; our editors rank them #1 and #8.

On deployment model, Hopsworks Feature Store gives you Both where OpenMLDB offers Self_hosted.

Hopsworks Feature Store is the better fit for organizations needing governed feature operations. OpenMLDB is the better fit for self-hosted teams needing SQL-based features.

  • Hopsworks Feature Store fits best

    Organizations needing governed feature operations

  • OpenMLDB fits best

    Self-hosted teams needing SQL-based features

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Side by side

Feature Hopsworks Feature Store 9.4/10 Visit ↗ OpenMLDB 8.4/10 Visit ↗
At a glance
Editor score 9.4 8.4
Ranking #1 in Feature Store Software #8 in Feature Store Software
Best for Organizations needing governed feature operations Self-hosted teams needing SQL-based features
Pricing model Free plan + paid Free
Starting price — Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Self-hosted
Platforms Web Linux, macOS
Support Community, Docs Email, Community, Docs
Integrations 19 integrations 7 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Hopsworks Feature Store 4/4 · OpenMLDB 4/4
Online store ✓ ✓
Offline store ✓ ✓
Point-in-time joins ✓ ✓
Feature monitoring ✓ ✓
Specs
Deployment model Both Self_hosted
Serving modes Both Both
Our review
Pros
  • 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.
  • SQL supports feature definition, time-series calculations, and extended joins
  • Combines low-latency real-time and optimized Spark batch computation
  • Supports point-in-time retrieval, online serving, and operational monitoring
Cons
  • 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.
  • Platform coverage is limited to Linux and macOS
  • Self-hosted deployment requires the team to manage its infrastructure
  • Its SQL-centered approach may not suit teams seeking a narrower feature-store workflow
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 →

OpenMLDB is an open-source machine learning database and feature platform for teams building real-time ML applications. It is aimed at self-hosted organizations that need SQL-based feature definition and management across both online and…

Read the review →
  1. Hopsworks Feature StoreFeature Store Software 9.4Free plan
  2. OpenMLDBFeature Store Software 8.4Open source

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.

  • OpenMLDB — where it wins

    • SQL supports feature definition, time-series calculations, and extended joins
    • Combines low-latency real-time and optimized Spark batch computation
    • Supports point-in-time retrieval, online serving, and operational monitoring

    Where it doesn't

    • Platform coverage is limited to Linux and macOS
    • Self-hosted deployment requires the team to manage its infrastructure
    • Its SQL-centered approach may not suit teams seeking a narrower feature-store workflow

More comparisons

All feature store software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update