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ClearMLThe Infrastructure Platform For AI Builders
vs
DVCManage data the way code is managed.
Comparison · MLOps Platforms · weekly run Nov 2

ClearML vs DVC

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 3.7 for DVC, and ranks ahead in 100% of the answers that name both.

Choose ClearML if…

  • You want the brand AI engines rank higher (20.6 vs 3.7)
  • You need a self-hosted or on-premises option
  • open-source flexibility
  • transparent, clear pricing with a free self-hosted tier

Choose DVC if…

  • AI answers describe it more positively (56% vs 43% positive)
  • Git-like versioning of data and experiments that integrates with code repositories
  • Versions massive datasets and models alongside code
  • Free, open-source tool often paired with MLflow

AI visibility side by side

Latest weekly run · Nov 2

Metric ClearML DVC
Visibility score20.6%3.7%
Change vs last weekNewNew
Rank in MLOps Platforms#8#21
Share of voice4.5%1.4%
Mentions this run309
Positive in AI answers43%56%

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 · DVC 0pp over 0 weekly runs.

Engine by engine

ClearML leads on 3 of 3 engines

ChatGPT
22.2%
3%
AI Mode
14.3%
4.3%
Perplexity
25.2%
3.9%
ClearMLDVC

Head to head in AI answers

6 engine answers name both brands

6ClearML ranked higher
0DVC ranked higher

Features, pricing & fit

DimensionClearMLDVC
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 locally on the user's machine alongside Git, with data kept in the customer's own cloud storage (S3, Azure, Google Cloud).
SupportDedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise)—
Founded20162017
HeadquartersTel Aviv, Israel—
Employees11–50—
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.Individual data scientists and small data science projects that want data version control with minimal overhead.

Plans side by side

ClearML

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

DVC

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

    DVC

    • Git-like versioning of data and experiments that integrates with code repositories
    • Versions massive datasets and models alongside code
    • Free, open-source tool often paired with MLflow

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

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