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ClearML vs Hopsworks AI Lakehouse

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ClearML

7.4#1 in gpu cluster management softwareFrom $15 a month
Free planWebAPILinuxmacOS
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What both publish

FactClearMLHopsworks AI Lakehouse
HeadquartersBerkeley, California, USAStockholm, Sweden
IntegrationsThe integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations.Listed integrations include Airflow, Apache Flink, Databricks, Snowflake, AWS SageMaker, Spark, Vertex AI, and Weights & Biases.
SupportScale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services.The Free and SaaS pricing tiers include community support, while Enterprise includes a dedicated support team and guaranteed SLA.

ClearML plans

  • CommunityFree
  • Pro$15 a month
  • EnterprisePriced on request
  • ScalePriced on request

Hopsworks AI Lakehouse plans

  • FreeFree
  • EnterprisePriced on request
  • SaaSPriced on request

Pick ClearML if…

ClearML suits AI and machine-learning teams that need experiment management and model development tools alongside GPU resource management. Its hosting choices may also suit teams with self-hosted, VPC, on-premises, or hybrid requirements.

Pick Hopsworks AI Lakehouse if…

It is aimed at developers, data scientists, platform engineers, security engineers, and administrators building AI systems. The free tier may suit a single-project start, while enterprises needing on-premise or air-gapped deployment have a separate tier.

Charts they share