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Hopsworks Feature Store
What it is
Hopsworks Feature Store is a layer for managing, reusing, and serving machine-learning features. It pairs an offline store built on Apache Hudi tables on HopsFS with an online RonDB key-value store. The platform can generate training datasets using feature values from a historical point in time, helping prevent data leakage. Its Feature Registry provides metadata search, automatic feature analysis and statistics, version comparison, and access control. Hopsworks also tracks feature distributions, detects drift, and can send alerts. Listed integrations include Airflow, Apache Flink, Databricks, Snowflake, Spark, AWS SageMaker, Vertex AI, and Weights & Biases. Deployment options include managed SaaS, Kubernetes on AWS, Azure, or GCP, and air-gapped data centres. The Kubernetes installer documentation lists AWS EKS, Google GKE, Azure AKS, and OVHCloud, requires Kubernetes 1.27 or higher, and recommends at least four to five nodes. Security features described include encryption at rest and in transit, project-based access controls, two-factor authentication, and SSO. The free plan includes one project and community support; SaaS is pay as you go, while Enterprise pricing is custom.
For and against
For
- Pairs online and offline feature stores
- Generates point-in-time training datasets
- Tracks feature distributions and can alert on drift
- Supports managed SaaS and self-hosted deployment
- Free plan includes one project
Against
- Free plan is limited to one project
- Free and SaaS tiers list community support
- Self-hosting recommends at least four to five nodes
- Enterprise pricing is custom
The verdict
Hopsworks combines feature storage, registry, monitoring, and deployment choices for production AI systems. The free tier is limited to one project, while SaaS and Enterprise plans have different support and deployment provisions.
Who it suits
Hopsworks presents its platform for data scientists, data engineers, developers, platform engineers, security engineers, and administrators building production AI systems. It offers both managed and self-hosted deployment options.
Plans and prices
Free
1 project · Feature Store + Model Registry · Community support · No credit card required
Read 29 Sep 2026 · hopsworks.ai
Enterprise
All SaaS features · On-premise and air-gapped deployments · Dedicated support team · Custom integrations
Read 29 Sep 2026 · hopsworks.ai
SaaS
Unlimited projects · Feature Store + Model Registry · Model Serving · Usage-based pricing
Read 29 Sep 2026 · hopsworks.ai
On the record
- Certifications
- Hopsworks states that it is certified under ISO 27001 and SOC 2 Type 2 and is GDPR compliant.hopsworks.ai · read 29 Sep 2026
- Company
- Hopsworks says it was founded in 2017 and lists offices in Palo Alto, London, and Stockholm.hopsworks.ai · read 29 Sep 2026
- Deployment options
- The documentation describes managed SaaS and deployment on AWS, Azure, or GCP Kubernetes, as well as air-gapped data centres.docs.hopsworks.ai · read 29 Sep 2026
- Feature monitoring
- Hopsworks says it tracks feature distributions, detects drift, and can send alerts.hopsworks.ai · read 29 Sep 2026
- Feature registry
- The Feature Registry offers metadata search, automatic feature analysis and statistics, version comparison, and access control.hopsworks.ai · read 29 Sep 2026
- Integrations
- Listed integrations include Airflow, Apache Flink, Databricks, Snowflake, Spark, AWS SageMaker, Vertex AI, and Weights & Biases.hopsworks.ai · read 29 Sep 2026
- Online and offline storage
- The Feature Store pairs an offline store based on Apache Hudi tables on HopsFS with an online RonDB key-value store.hopsworks.ai · read 29 Sep 2026
- Point-in-time training data
- The platform can generate training datasets that reflect feature state at a historical point to prevent data leakage.hopsworks.ai · read 29 Sep 2026
- Product
- Hopsworks describes its Feature Store as a managed layer for managing, reusing, and serving machine-learning features.hopsworks.ai · read 29 Sep 2026
- Security
- The security page describes encryption at rest and in transit, project-based access controls, and authentication options including two-factor authentication and SSO.hopsworks.ai · read 29 Sep 2026
- Self-hosting requirements
- The Kubernetes installer page lists AWS EKS, Google GKE, Azure AKS, and OVHCloud, Kubernetes 1.27 or higher, and recommends at least 4–5 nodes.hopsworks.ai · read 29 Sep 2026
- Support
- The Free and SaaS pricing tiers list community support; Enterprise lists a dedicated support team.hopsworks.ai · read 29 Sep 2026
- Who it is for
- Hopsworks presents the platform for data scientists, data engineers, developers, platform engineers, security engineers, and administrators building production AI systems.docs.hopsworks.ai · read 29 Sep 2026
