Hopsworks AI Lakehouse
Hopsworks AI Lakehouse: A broad AI lakehouse for teams that need tracking alongside feature and model governance. Ranked #7 of 38 in ML Experiment Tracking Software by our editors (8.2/10); pricing: Free plan; best for teams needing tracking plus feature governance.
At a glance
- Editor score8.2 / 10
- PricingFree plan
- Best forTeams needing tracking plus feature governance
- Free planYes
- Run comparisonYes
- Founded2017 · Stockholm, Sweden
- Facts checked21 Sep 2026

Where it wins
- Free plan includes experiment tracking, comparisons, artifacts, and one project
- Covers datasets, features, models, serving, lineage, and monitoring
- Supports web, API, self-hosted, cloud, on-premise, and air-gapped deployments
Where it doesn't
- The Free plan is limited to 1 project
- SaaS costs vary with usage, complicating fixed-budget planning
- Broader than a focused experiment-tracking product
Our verdict on Hopsworks AI Lakehouse
Hopsworks AI Lakehouse brings experiment tracking into a wider platform for building and operating machine-learning and AI systems. It is suited to teams that need to record training runs, metrics, logs, hyperparameters, outputs, and artifacts while also managing feature data, model versions, serving, monitoring, lineage, and governance. Its support for batch, streaming, real-time, and LLM workflows makes it relevant to teams managing more than isolated model experiments.
The Free plan costs $0 and includes 1 project, Feature Store, Model Registry, community support, and no credit card requirement. The SaaS plan adds unlimited projects, Model Serving, all listed Feature Store and Model Registry capabilities, pay-only-for-what-you-use billing, and a platform SLA. Enterprise adds the SaaS features along with on-premise and air-gapped deployment, a dedicated support team, custom integrations, and a guaranteed SLA. The platform also connects with tools including Airflow, Dagster, Databricks, Kubeflow, Snowflake, Spark, Vertex AI, Python, and AWS SageMaker.
Its strongest distinction is breadth. Teams can compare experiment runs through TensorBoard-based visualization, track model files, version training datasets and feature data, register models with metrics and provenance, and monitor drift through statistics comparison. Feature, model, and data lineage add governance across the lifecycle. That scope will suit organizations that want tracking connected to a broader AI lakehouse and operational workflow. Teams seeking a narrowly focused experiment-tracking tool may find the wider platform scope more than they need, while the Free plan's single-project limit may constrain larger evaluations.
Your product? Our editors can test Hopsworks AI Lakehouse in depth and publish a review, labelled as paid · from $149/mo →
Hopsworks AI Lakehouse pricing
All 3 Hopsworks AI Lakehouse plans and prices →
Hopsworks AI Lakehouse fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Run comparison | Yes |
| Artifact tracking | Yes |
| Dataset versioning | Yes |
| Model registry | Yes |
| Deployment options | Not verified |
| API and SDK access | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR, 2FA |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 32+ integrations: Airflow, Apache Flink, AWS Lambda, Azure ML, BigQuery, Dagster … See all → |
| Pricing | Free plan (source) |
| Website | hopsworks.ai |
| Facts checked | 21 Sep 2026 |
Hopsworks AI Lakehouse integrations
Hopsworks AI Lakehouse lists 32+ integrations on its own site — the 16 named here are the ones its pages call out.
- Airflow
- Apache Flink
- AWS Lambda
- Azure ML
- BigQuery
- Dagster
- Databricks
- Dataiku
- Kubeflow
- MongoDB
- Python
- AWS SageMaker
- Snowflake
- Spark
- Vertex AI
- Weights & Biases
See all Hopsworks AI Lakehouse integrations →
Alternatives to Hopsworks AI Lakehouse
- Weights & BiasesA broad ML platform that extends experiment tracking into production workflows.8.9
- ClearMLA broad MLOps platform with experiment tracking, data versioning, orchestration, and serving.8.8
- CometA polished experiment tracking platform with strong comparison, lineage, and registry tools.8.7
See all Hopsworks AI Lakehouse alternatives →
Hopsworks AI Lakehouse vs the competition
- Hopsworks AI Lakehouse vs Weights & Biases
- Hopsworks AI Lakehouse vs ClearML
- Hopsworks AI Lakehouse vs Comet
- Hopsworks AI Lakehouse vs Amazon SageMaker Experiments
- Hopsworks AI Lakehouse vs Databricks Mosaic AI
- Hopsworks AI Lakehouse vs Valohai
Compare Hopsworks AI Lakehouse with any tool side by side →
Also Ranked In
Hopsworks AI Lakehouse is ranked in 2 of our directories.
Used Hopsworks AI Lakehouse? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Hopsworks AI Lakehouse for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
Write a reviewTwo minutes · verified accounts only · read by an editor before it appears
Featured on iTechGuides
Hopsworks AI Lakehouse is listed in our ML Experiment Tracking Software directory. Add the badge to your site — it links back to this page.
<a href="https://www.itechguides.com/products/hopsworks-ai-lakehouse/"><img src="https://www.itechguides.com/best/badge/hopsworks-ai-lakehouse.svg" alt="Featured on iTechGuides" width="230" height="46"></a>
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update





