Skip to content
SPECIFICTION
Get listed

Outerbounds vs ZenML

Outerbounds

outerbounds.com

ZenML

zenml.io

Side by side

FigureOuterboundsZenML
Price from$2,499/mo$999/mo
Free planYesYes
Free trialYes—
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hosted—Yes
Plans published33
Spec score · MLOps Platforms7.7 (#10)7.8 (#7)
IntegrationsOuterbounds documents Snowflake access and examples for AWS Athena, Amazon SageMaker, and Amazon Bedrock.The integrations directory lists 66 tools, including LangGraph, OpenAI Agents SDK, PyTorch, MLflow, AWS, and Google Cloud Vertex AI Pipelines.
PurposeOuterbounds provides a managed platform for building and deploying production AI and ML systems in a customer’s cloud.ZenML orchestrates AI and machine-learning pipelines and agents written in Python.
SecurityThe pricing page lists SOC 2 compliance for Starter and Enterprise, and HIPAA support is stated on the product homepage.ZenML states that it is SOC 2 Type II and ISO 27001 certified.
SupportStarter and Enterprise include dedicated support, while the Community plan lists community support.The Open Source plan includes community support, Scale includes priority support, and Enterprise includes dedicated support with an SLA.

Plans

Outerbounds

  • CommunityFree
  • Starter$2,499 a month
  • EnterprisePriced on request

Outerbounds pricing →

ZenML

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

ZenML pricing →

In their own words

Outerbounds

Outerbounds is a managed platform for building and deploying production AI and machine-learning systems in a customer's cloud. It supports data processing, machine learning, AI applications, and agentic workflows, with orchestration, metadata tracking, monitoring, and production deployment tools. Developers can test code locally before deployment; Starter includes up to three cloud workstations. The platform documents Snowflake access and examples for AWS Athena, Amazon SageMaker, and Amazon Bedrock. Outerbounds says it can deploy in any cloud region in less than 15 minutes. Its free Community plan is built around open-source Metaflow, with infrastructure and security managed by the customer. Starter costs $2,499 a month, billed annually, and includes a 30-day trial. Starter is limited to three compute nodes and three workstations. Enterprise lists unlimited compute and workstations, multi-region deployment, and advanced RBAC, with price available by contacting the provider. Starter and Enterprise list SOC 2 compliance and dedicated support; HIPAA support is stated on the product homepage.

Visit outerbounds.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