Vendor Name | Hopsworks Feature Store |
History | First developed at KTH University, now managed by startup Logical Clocks |
Stand-alone vs. Platform | Part of the Hopsworks MLOps platform |
Delivery Model | Open source, self-managed commercial, and fully-managed cloud service |
Clouds Supported | AWS and Azure (managed service), GCP and on-prem (self-managed) |
Pricing Model | Cloud service: consumption pricing Self-managed: per node pricing Open source: free |
Service Level Guarantees | Uptime, Serving latencies |
Support | 24 x 7 support & response time guarantees |
Feature Definitions | Feature ingestion jobs managed in notebooks |
Automated Transforms | Orchestration of ingestions jobs via Apache Airflow DAGs |
Feature Ingestion | Spark/Pandas batch feature ingestion into offline & online store Spark Streaming feature ingestion into online store |
Storage and Feature Processing Infrastructure | Online storage: RonDB Offline storage: HopsFS on AWS S3, on Azure Block Storage, or on Direct Attached Storage Feature Processing: Spark and Python |
Feature Sharing and Discovery | Web UI Searchable feature catalog with metadata Feature discovery including feature values Feature versioning and dependency management |
Training Dataset Generation | Dataset generated from HopsFS using Python SDK Time Travel to one point of time in the past Row-level time travel (on the roadmap) |
Online Serving | Python SDK for online data retrieval (or direct retrieval from RonDB) |
Monitoring and Alerting | Data quality monitoring |
Security and Data Governance | Data remains in end-user's cloud account ACL and RBAC SSO Data encryption at rest and in flight |
Integrations | Batch data: Any data source that can be read by Python or Spark Streaming data: Any Spark streaming data sources |
Hopsworks Feature Store Frequently Asked Questions
Hopsworks and its Feature Store are an open source data-intensive AI platform used for the development and operation of machine learning models at scale.
Hopsworks started as an open-source collaborative project at KTH University, RISE, and has more recently been taken on by Logical Clocks. Several funding bodies have helped contribute to its development including: European Commission (FP7, H2020), EIT, SSF, Vinnova and Celtic-Next.
Hopsworks is available under the AGPL-V3 license. In plain English this means that you are free to use Hopsworks and even build paid services on it, but if you modify the source code, you should also release your changes and any systems built around it as AGPL-V3.
Logical Clocks is the company behind the Hopsworks project. They offer various products such as RonDB and Maggy. They also can run a managed service instance of the Hopsworks Feature Store.
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Vendor |
Demo link |
History |
Stand-alone vs. Platform |
Delivery Model |
Clouds Supported |
Pricing Model |
Service Level Guarantees |
Support |
Feature Definitions |
Automated Transforms |
Feature Ingestion |
Storage and Feature Processing Infrastructure |
Feature Sharing and Discovery |
Training Dataset Generation |
Online Serving |
Monitoring and Alerting |
Security and Data Governance |
Integrations |