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SlateIndex
ClearMLThe Infrastructure Platform For AI Builders
vs
KubeflowThe Open Source AI Platform
Comparison · MLOps Platforms · weekly run Nov 2

ClearML vs Kubeflow

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

ClearML is the stronger AI pick in MLOps Platforms: it has a visibility score of 20.6 versus 20.1 for Kubeflow, and ranks ahead in 63% of the answers that name both.

Choose ClearML if…

  • You want the brand AI engines rank higher (20.6 vs 20.1)
  • AI answers describe it more positively (43% vs 17% positive)
  • open-source flexibility
  • transparent, clear pricing with a free self-hosted tier

Choose Kubeflow if…

  • You prefer a larger, established vendor (51–200 employees)
  • free and open source
  • strong choice for Kubernetes-native, cloud-native ML platforms
  • portability and deep infrastructure control

AI visibility side by side

Latest weekly run · Nov 2

Metric ClearML Kubeflow
Visibility score20.6%20.1%
Change vs last weekNewNew
Rank in MLOps Platforms#8#9
Share of voice4.5%5.8%
Mentions this run3039
Positive in AI answers43%17%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2ClearML 21%

ClearML 0pp · Kubeflow 0pp over 0 weekly runs.

Engine by engine

ClearML leads on 2 of 3 engines

ChatGPT
22.2%
19.1%
AI Mode
14.3%
20.6%
Perplexity
25.2%
20.6%
ClearMLKubeflow

Head to head in AI answers

16 engine answers name both brands

10ClearML ranked higher
6Kubeflow ranked higher

Features, pricing & fit

DimensionClearMLKubeflow
Pricing modelPer seat—
Entry priceFree; paid from $15 per seat / mo—
Free planYes—
DeploymentHosted servers, self-hosted, or a managed service in a VPC, on-premises (including air-gapped) or hybrid.Runs as a collection of microservices on any Kubernetes cluster, including on-premises, hybrid, and AWS, Azure, or GCP.
SupportDedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise)Weekly community calls, Mailing list, Slack workspace
Founded20162017
HeadquartersTel Aviv, IsraelSunnyvale, CA, United States
Employees11–5051–200
FundingSeries B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raised—
Best forIndividuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects.—

Plans side by side

ClearML

Community$0month
Pro$15user/month + usage
ScaleCustomcustom quote
EnterpriseCustomcustom quote
ClearML pricing

Kubeflow

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

ClearML

  • open-source flexibility
  • transparent, clear pricing with a free self-hosted tier
  • end-to-end MLOps coverage in one platform
  • GPU orchestration and pipeline automation
  • affordable choice for cost-conscious teams

    Kubeflow

    • free and open source
    • strong choice for Kubernetes-native, cloud-native ML platforms
    • portability and deep infrastructure control
    • modular, open-source infrastructure
    • operationally complex, especially for small teams
    • requires Kubernetes expertise and significant infrastructure ownership
    • Kubernetes operations add infrastructure costs

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “ClearML vs Kubeflow”, https://slateindex.ai/compare/clearml-vs-kubeflow, data of Nov 2, 2026. Licence: CC BY 4.0.