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Hopsworks AI Lakehouse vs ZenML

Hopsworks AI Lakehouse

hopsworks.ai

ZenML

zenml.io

Side by side

FigureHopsworks AI LakehouseZenML
Price fromFree$999/mo
Free planYesYes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published33
Spec score · Model Registry Software8.0 (#6)7.8 (#10)
Spec score · ML Experiment Tracking Software8.1 (#8)7.8 (#11)
Spec score · Model registries8.2 (#11)8.4 (#9)
DeploymentThe documentation describes managed SaaS and deployments on managed Kubernetes in AWS, Azure, or GCP, as well as air-gapped data centres.ZenML supports local, SaaS, and self-hosted deployment, including Docker and Kubernetes Helm deployment methods.
HeadquartersStockholm, SwedenMunich, Germany
IntegrationsListed integrations include Airflow, Apache Flink, Databricks, Snowflake, AWS SageMaker, Spark, Vertex AI, and Weights & Biases.The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines.
PurposeHopsworks describes its AI Lakehouse as a platform for building batch, real-time, and LLM AI systems on open standards.ZenML orchestrates AI and machine-learning pipelines and agents written in Python.
SecurityHopsworks says it encrypts data at rest and in transit and provides project-based access controls, audit logs, and authentication options including 2FA and SSO.ZenML states that it is SOC 2 Type II and ISO 27001 certified.
SupportThe Free and SaaS pricing tiers include community support, while Enterprise includes a dedicated support team and guaranteed SLA.The Open Source plan includes community support, Scale includes priority support, and Enterprise includes dedicated support with an SLA.

Plans

Hopsworks AI Lakehouse

  • FreeFree
  • EnterprisePriced on request
  • SaaSPriced on request

Hopsworks AI Lakehouse pricing →

ZenML

  • Open SourceFree
  • Scale$999 a month
  • EnterprisePriced on request

ZenML pricing →

In their own words

Hopsworks AI Lakehouse

Hopsworks AI Lakehouse is a platform for building batch, real-time, and LLM AI systems using open standards. It supports Apache Iceberg, Delta Lake, and Apache Hudi, with streaming feature pipelines that feed a low-latency serving database and provide sub-second feature freshness. Its Query Service transfers data to Python clients using Arrow and supports temporal joins, filter pushdown, credential vending, and reproducible training data. For LLM workflows, teams can query lakehouse data from prompts, integrate vector search for retrieval-augmented generation, and create fine-tuning instruction datasets while maintaining data governance. Feature, training, and inference pipelines cover batch, streaming, real-time, and LLM work, with trained models sent to a model registry. Integrations include Airflow, Apache Flink, Databricks, Snowflake, AWS SageMaker, Spark, Vertex AI, and Weights & Biases. Deployment options include SaaS, managed Kubernetes on AWS, Azure, or GCP, and air-gapped data centres. The Free plan is free and includes one project, Feature Store, Model Registry, and community support; SaaS uses usage-based pricing, while Enterprise is custom-priced.

Visit hopsworks.ai

ZenML

ZenML orchestrates AI and machine-learning pipelines and agents written in Python. Pipelines can run on Kubernetes, Vertex AI, SageMaker, AzureML, or a laptop without rewriting code. ZenML versions step outputs such as models and evaluation datasets, supports re-execution from any step, and reuses cached results when code and inputs have not changed. Deployment choices include local, SaaS, and self-hosted setups, with Docker and Kubernetes Helm methods. ZenML says it stores metadata while data, artifacts, and compute remain in the customer's infrastructure or VPC. Its integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines. The self-hosted Open Source plan is free and includes unlimited executions and projects. Scale costs $999 a month and includes 2,000 executions, three projects, and five snapshots. Enterprise has custom pricing and adds SSO, custom-role RBAC, audit logs, and air-gapped deployment. ZenML says it is SOC 2 Type II and ISO 27001 certified.

Visit zenml.io