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Capabilities of the Hopsworks ML platform

Simplify your MLOps journey with extended tool capabilities

Platform

Feature Store for AWS

Hopsworks allows you to manage all your data for machine learning on a Feature Store platform that integrates with AWS services.
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Feature Store for Azure

Hopsworks allows you to manage all your data for machine learning on a Feature Store platform that integrates with Azure services.
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Feature Store for GCP

Hopsworks allows you to manage all your data for machine learning on a Feature Store platform that integrates with GCP services.
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Feature Store On-Premises

Hopsworks allows you to manage all your data for machine learning on a Feature Store that integrates with most major Data platforms.
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Operational Performance and High Availability

Hopsworks is the feature store & ML platform for high performance requirements, leveraging decades of experience and knowledge in highly available systems.
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Serverless Feature Store

The only serverless feature store & ML platform available for free without any cloud requirements allowing everyone to create their own prediction services
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Collaboration

The collaborative layer for ML; Hopsworks feature store and ML platform allows for team efficiency and accelerating value in any organization.
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Machine Learning Pipelines

Feature Engineering in Python

Hopsworks Feature Store and ML platform is a Python-first collaborative environment for ML Engineers, Data Engineers and Data Scientists.
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Feature Engineering in Beam

In Hopsworks' Feature Store, Beam pipelines are enabled in Java/Scala, ensuring that computed features align with the schema of the target feature group.
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Feature Engineering in Flink

Hopsworks supports the Apache Flink framework for building streaming feature pipelines that can be used for real-time feature engineering.
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Feature Store

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