Tool overview
Hopsworks is listed under AI Infrastructure & MLOps AI tools.
What is Hopsworks?
Hopsworks is an AI Lakehouse for building, governing, and operating machine-learning systems. It combines a Python-centric feature store, model registry, model serving, lineage, monitoring, vector search, and pipelines for batch, real-time, and LLM applications across SaaS, cloud, on-premises, and air-gapped deployments.
Best for
ML platform teams operating reusable features and production models at scale
Who is it for?
Decision note
Confirm SaaS credit rates, storage and compute, project limits, feature history, online serving, vector search, support, SLA, cloud region, on-premises requirements, licensing, cancellation, and the current enterprise quote.
Key features
Online and offline feature store with point-in-time correctness
Feature, training, and inference pipeline architecture
Versioned model registry and KServe-based serving
Lineage, search, tags, statistics, and monitoring
Vector database support for embeddings and RAG
SaaS, cloud, on-premises, and air-gapped deployment
Use cases
Building reusable production features
Serving low-latency online features
Managing model versions and deployments
Supporting RAG and LLM applications
Pros
- Permanent free plan for evaluation
- Supports complete feature-to-serving workflows
- Offers open-source and enterprise deployment options
Cons
- Usage costs can be difficult to estimate
- Platform operation requires ML infrastructure expertise
- Enterprise deployment and governance add complexity
Limitations
Hopsworks cannot guarantee correct features, models, or predictions. Teams must validate point-in-time joins, prevent leakage, monitor drift, secure credentials and data, test serving changes, manage costs, and keep accountable engineers responsible for production behavior.
Pricing details
Billing options
Pricing note
Hopsworks offers a Free plan at $0 with one project, Feature Store, and Model Registry. SaaS is pay as you go and adds unlimited projects and Model Serving. Enterprise pricing is custom for dedicated support, custom integrations, on-premises, and air-gapped deployment.
Supported languages
- English
Integrations
Snowflake
Databricks
Redshift
BigQuery
AWS SageMaker
Kubeflow
KServe
Kafka
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