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DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
DataRobotThe platform enterprises trust to build, operate, and govern their agents.
Comparison · MLOps Platforms · weekly run Nov 2

Databricks vs DataRobot

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 5.6 for DataRobot, and ranks ahead in 92% of the answers that name both.

Choose Databricks if…

  • You want the brand AI engines rank higher (46.2 vs 5.6)
  • AI answers describe it more positively (35% vs 27% positive)
  • You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
  • You prefer a larger, established vendor (5,000+ employees)

Choose DataRobot if…

  • You need a self-hosted or on-premises option
  • You need HIPAA coverage
  • Automated machine learning (AutoML) capabilities
  • Robust enterprise monitoring and governance features

AI visibility side by side

Latest weekly run · Nov 2

Metric Databricks DataRobot
Visibility score46.2%5.6%
Change vs last weekNewNew
Rank in MLOps Platforms#2#16
Share of voice7.6%2.1%
Mentions this run5114
Positive in AI answers35%27%

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 2Databricks 46%

Databricks 0pp · DataRobot 0pp over 0 weekly runs.

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT
43.3%
5.4%
AI Mode
51.1%
7.4%
Perplexity
44.1%
4.1%
DatabricksDataRobot

Head to head in AI answers

13 engine answers name both brands

12Databricks ranked higher
1DataRobot ranked higher

Features, pricing & fit

DimensionDatabricksDataRobot
DeploymentAvailable across all major cloud providersCloud, hybrid, on-premises, and air-gapped environments
ComplianceISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3ISO 27001, SOC 2 Type II, HIPAA
SupportTechnical support on request, Technical documentationOnline documentation, Support center
Founded20132012
HeadquartersSan Francisco, CABoston, Massachusetts, USA
Employees5,000+501–1,000
FundingRound at $60B valuation, including secondary saleCorporate minority round (SBI Holdings)
Best forData engineering, data science, analytics and AI teams at startups and global enterprisesLarge enterprises in regulated industries that need to take agentic AI from pilot into production.

Pros and cons

Themes from the AI answers that mention each brand

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

DataRobot

  • Automated machine learning (AutoML) capabilities
  • Robust enterprise monitoring and governance features
  • Good fit for governed AutoML in regulated industries
  • Analyst-friendly workflows for business users
  • Free trial available
  • Steep platform fees that scale aggressively

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

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