Polyaxon vs MLRun

Polyaxon8.5Visit MLRun8.2Visit

Higher score Polyaxon #2 in MLOps Platforms 8.5/10 Free plan · paid from $555/mo Free plan✓ 6 of 6 features Visit Polyaxon

vs

MLRun #3 in MLOps Platforms 8.2/10 Open source · 14-day trial ✓ 6 of 6 features Visit MLRun

• Polyaxon fits best

  Kubernetes organizations needing enterprise controls

• MLRun fits best

  Multi-cloud teams needing complete open-source MLOps

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.

Side by side

Feature	Polyaxon 8.5/10 Visit ↗	MLRun 8.2/10 Visit ↗
At a glance
Editor score	8.5	8.2
Ranking	#2 in MLOps Platforms	#3 in MLOps Platforms
Best for	Kubernetes organizations needing enterprise controls	Multi-cloud teams needing complete open-source MLOps
Pricing model	Free plan + paid	Free
Starting price	$555/mo	Not published
Free plan	✓ (best)	Not published
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web, Windows, macOS, Linux
Support	Live chat, Community, Docs	Email, Community, Docs
Integrations	20 integrations	15 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Polyaxon 6/6 · MLRun 6/6
Experiment tracking	✓	✓
Model registry	✓	✓
Pipeline orchestration	✓	✓
Model serving	✓	✓
Data versioning	✓	✓
Managed compute	✓	✓
Our review
Pros	Combines tracking, registries, pipelines, serving, and versioning Supports Kubernetes scheduling, queues, priorities, and multi-cluster agents Includes RBAC, audit trails, teams, roles, and SSO/SAML support	Covers tracking, registry, orchestration, serving, lineage, and monitoring Supports Kubernetes, AWS EKS, Azure AKS, GKE, and self-hosting Connects with GitHub Actions, GitLab CI/CD, Kubeflow, Spark, and Jupyter
Cons	Platform limits usage to 3 developer seats and 1 compute cluster Teams costs $1,500 per month before custom Enterprise features Its broad feature set may exceed the needs of narrowly focused teams	Its broad scope may exceed the needs of teams seeking one focused MLOps tool Production workflows depend on Kubernetes or supported cloud environments The managed service includes a 14-day trial rather than an ongoing free managed tier
Our verdict	Polyaxon is an AI engineering control plane for teams building, training, serving, and operating machine-learning workloads on Kubernetes. It brings experiment tracking, workflow orchestration, model and artifact registries, scheduling,… Read the review →	MLRun is an open-source AI orchestration platform for data scientists, data engineers, and ML engineers. It brings data preparation, experiment tracking, model registration and versioning, workflow orchestration, model serving, monitoring,… Read the review →

Strengths and trade-offs

• Polyaxon — where it wins

  • Combines tracking, registries, pipelines, serving, and versioning
  • Supports Kubernetes scheduling, queues, priorities, and multi-cluster agents
  • Includes RBAC, audit trails, teams, roles, and SSO/SAML support

  Where it doesn't

  • Platform limits usage to 3 developer seats and 1 compute cluster
  • Teams costs $1,500 per month before custom Enterprise features
  • Its broad feature set may exceed the needs of narrowly focused teams

• MLRun — where it wins

  • Covers tracking, registry, orchestration, serving, lineage, and monitoring
  • Supports Kubernetes, AWS EKS, Azure AKS, GKE, and self-hosting
  • Connects with GitHub Actions, GitLab CI/CD, Kubeflow, Spark, and Jupyter

  Where it doesn't

  • Its broad scope may exceed the needs of teams seeking one focused MLOps tool
  • Production workflows depend on Kubernetes or supported cloud environments
  • The managed service includes a 14-day trial rather than an ongoing free managed tier

• Polyaxon8.5/10 · Free plan · paid from $555/mo

  A broad Kubernetes MLOps control plane for teams that need governance and scale.

  Visit PolyaxonFull verdict →
• MLRun8.2/10 · Open source · 14-day trial

  A broad open-source MLOps platform spanning tracking, orchestration, serving, and monitoring.

  Visit MLRunFull verdict →