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ClearMLThe Infrastructure Platform For AI Builders
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · MLOps Platforms · weekly run Nov 2

ClearML vs Databricks

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

The short answer

Databricks is the stronger AI pick in MLOps Platforms: it has a visibility score of 46.2 versus 20.6 for ClearML, and ranks ahead in 76% of the answers that name both.

Choose ClearML if…

  • AI answers describe it more positively (43% vs 35% positive)
  • You need a self-hosted or on-premises option
  • open-source flexibility
  • transparent, clear pricing with a free self-hosted tier

Choose Databricks if…

  • You want the brand AI engines rank higher (46.2 vs 20.6)
  • You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)
  • Lakehouse architecture combining data warehousing with data lake flexibility

AI visibility side by side

Latest weekly run · Nov 2

Metric ClearML Databricks
Visibility score20.6%46.2%
Change vs last weekNewNew
Rank in MLOps Platforms#8#2
Share of voice4.5%7.6%
Mentions this run3051
Positive in AI answers43%35%

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 · Databricks 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
22.2%
43.3%
AI Mode
14.3%
51.1%
Perplexity
25.2%
44.1%
ClearMLDatabricks

Head to head in AI answers

21 engine answers name both brands

5ClearML ranked higher
16Databricks ranked higher

Features, pricing & fit

DimensionClearMLDatabricks
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.Available across all major cloud providers
Compliance—ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
SupportDedicated Slack channel (Scale), Standard SLA (Scale), White-glove support with custom SLA (Enterprise), Professional services (Enterprise)Technical support on request, Technical documentation
Founded20162013
HeadquartersTel Aviv, IsraelSan Francisco, CA
Employees11–505,000+
FundingSeries B (reported for parent Allegro AI, unverified, led by New Enterprise Associates) · $16M raisedRound at $60B valuation, including secondary sale
Best forIndividuals, researchers and small teams on the free plan, growing AI teams on Pro, and enterprises running GPU clusters for multiple large projects.Data engineering, data science, analytics and AI teams at startups and global enterprises

Plans side by side

ClearML

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

Databricks

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

    Databricks

    • Lakehouse architecture combining data warehousing with data lake flexibility
    • Strong for machine learning, AI, and data engineering workloads
    • Top customer satisfaction ratings alongside Snowflake
    • Free trial and free Edition for learning
    • Discounts for annual prepaid commitments
    • Complex consumption-based pricing with no single fixed price
    • Best only when ML, Spark, or Python skills are central to the team

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

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