Hopsworks

Hopsworks is an AI Lakehouse platform that enables building, deploying, and scaling production ML systems. It provides a Feature Store and MLOps capabilities for real-time AI, trusted by leading teams.

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At a glance

Pricing

Freemium · Usage-based · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Hopsworks?

Hopsworks is a unified AI Lakehouse platform designed for building, deploying, and scaling production machine learning systems. It features a Feature Store for managing and serving feature data with sub-millisecond latency, powered by RonDB, and an MLOps platform for complete lifecycle management of ML models. The platform supports experiment tracking, model registry, and deployment pipelines, accelerating deployment by up to 10x. Hopsworks integrates with various data lakes (Delta, Iceberg, Hudi) and tools like TensorFlow, PyTorch, Spark, and Airflow. It offers flexible deployment options including SaaS, on-premise Kubernetes, and air-gapped environments, making it suitable for both small teams and large enterprises.

Best used for

Ideal for developers who need to build and deploy production-grade ML systems, manage real-time feature serving, and ensure data quality. Especially valuable for organizations requiring an AI Lakehouse architecture for real-time AI applications and scalable MLOps.

Common actions

build ML systems

deploy ML models

manage ML features

scale AI applications

monitor ML data

Capabilities

Key features

Feature Store
MLOps platform
AI Lakehouse
Real-time feature serving
GPU management
Data quality monitoring
Model registry

Target Audience

developer

Integrations

tensorflowpytorchsparkflinkairflowdatabrickssnowflakebigquery+ 5 more

Pricing & Plans

Freemium · Usage-based · Enterprise

Not publicly disclosed. Check hopsworks.ai for current pricing.

FAQs

Can I try Hopsworks for free?

Yes, Hopsworks offers a free SaaS platform at run.hopsworks.ai with no upfront commitment. You can also deploy it on your own Kubernetes cluster using a free evaluation license with their K8s installer.

What is an AI Lakehouse?

An AI Lakehouse combines data lakes and data warehouses for AI/ML workloads, extending them with components like an Online Store for real-time feature serving and a Vector Index for similarity search. Hopsworks supports existing data formats like Delta, Iceberg, and Hudi.

How does Hopsworks prevent training-serving skew?

Hopsworks prevents training-serving skew by using a unified online/offline store that applies the same feature definitions everywhere. It also manages model-dependent transformations consistently across both training and inference pipelines.

What platforms does Hopsworks support for deployment?

Hopsworks can be deployed on AWS, GCP, Azure, OVHcloud, or on-premise with Kubernetes. Options include their managed SaaS platform, a Helm-based K8s installer for your own cluster, or air-gapped deployments for enterprise needs.

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This tool also appears in

Data & Analytics › Data Pipelines & Integration Coding & Development › DevOps & Infrastructure Coding & Development › Open Source & Models

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