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SPECIFICTION
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DataRobot vs ZenML

DataRobot

datarobot.com

ZenML

zenml.io

Side by side

FigureDataRobotZenML
Price from—$999/mo
Free plan—Yes
Free trialYes—
Open source——
WebYesYes
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published13
Spec score · Model Registry Software8.0 (#5)7.8 (#10)
Spec score · MLOps Platforms8.0 (#6)7.8 (#7)
Spec score · Model registries7.8 (#15)8.4 (#9)
HeadquartersBoston, Massachusetts, United StatesMunich, Germany
IntegrationsThe platform offers integrations for business applications, LLMs, APIs and frameworks, data platforms, and AI infrastructure.The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines.
PurposeDataRobot provides a platform to develop, deliver, and govern AI solutions, including agentic, generative, and predictive AI.ZenML orchestrates AI and machine-learning pipelines and agents written in Python.
SecurityDataRobot says it encrypts data in transit and at rest and supports SAML single sign-on, LDAP for Self-Managed customers, and multi-factor authentication.ZenML states that it is SOC 2 Type II and ISO 27001 certified.

Plans

DataRobot

  • Self-Service SaaS trialFree

DataRobot pricing →

ZenML

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

ZenML pricing →

In their own words

DataRobot

DataRobot is a platform for developing, delivering, and governing agentic, generative, and predictive AI solutions. Its Agent Workforce Platform supports building production agents, deploying them across infrastructure, and governing them organization-wide. Development tools include data and tool registries, a vector store, code-first workflows, and workflow evaluation and comparison. Integrations cover business applications, LLMs, APIs and frameworks, data platforms, and AI infrastructure, with documented connections to AWS, Azure, Google Cloud, and Snowflake. The platform can run on-premise, in a virtual private cloud, or as software as a service. DataRobot says it encrypts data in transit and at rest and supports SAML single sign-on, multifactor authentication, and LDAP for self-managed customers. It lists ISO 27001 and SOC 2 Type II certifications. Pricing is on request, with a 30-day trial. The trial costs nothing, allows up to five team members, and deletes data and assets 30 days after expiration unless the user contacts Sales.

Visit datarobot.com

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