Hopsworks - 2026 Pricing, Features, Reviews & Alternatives

Hopsworks is an Open-source Enterprise Feature Store, a productivity platform for the development and operation of Machine Learning (ML) pipelines at scale. Users can easily manage their AI data for features and models for feature, training and inference pipelines.

It enables developers to collect data from multiple structured and unstructured sources and perform validation in order to create training data for models. The solution allows professionals to annotate models with metadata, letting developers perform root cause analysis and discover bugs across models. Engineers can prepare ML pipelines in Python language and design production code in the Jupyter Notebook for further execution. Hopsworks offers GDPR-compliant secure storage to manage sensitive datasets, grant users role-based access, and prevent data export from the project. Moreover, with the solution’s Airflow Operator feature, professionals can track errors and receive notifications about production problems in real-time.

Hopsworks comes with a feature store module, which enables data scientists to discover, analyze, and reuse features across applications, add new features, and create curated data for machine learning algorithms. It also ensures consistency in the feature engineering process, executes time-travel queries, and generates high-quality data using validation tools. Plus, the solution assists users with both stream and data-parallel processing via the Apache Spark, Apache Flink, and Apache Beam applications.