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DataRobotThe platform enterprises trust to build, operate, and govern their agents.
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · AI Agents · weekly run Nov 3

DataRobot vs Looker

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

The short answer

Looker is the stronger AI pick in AI Agents: it has a visibility score of 10.4 versus 1.2 for DataRobot.

Choose DataRobot if…

  • You need a self-hosted or on-premises option
  • You need SOC 2 Type II coverage
  • Automated machine learning (AutoML) capabilities
  • Robust enterprise monitoring and governance features

Choose Looker if…

  • You want the brand AI engines rank higher (10.4 vs 1.2)
  • AI answers describe it more positively (30% vs 27% positive)
  • You need SOC 2 or FedRAMP coverage
  • Governed semantic layer and metric consistency

AI visibility side by side

Latest weekly run · Nov 3

Metric DataRobot Looker
Visibility score1.2%10.4%
Change vs last weekNewNew
Rank in AI Agents#55#13
Share of voice0.1%2.5%
Mentions this run117
Positive in AI answers27%30%

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 3DataRobot 1%

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

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
3.7%
16.1%
AI Mode
0%
11.5%
Perplexity
0%
3.5%
DataRobotLooker

Head to head in AI answers

0 engine answers name both brands

0DataRobot ranked higher
0Looker ranked higher

Features, pricing & fit

DimensionDataRobotLooker
DeploymentCloud, hybrid, on-premises, and air-gapped environmentsGoogle Cloud
ComplianceISO 27001, SOC 2 Type II, HIPAASOC 2, ISO 27001, FedRAMP, HIPAA
SupportOnline documentation, Support center—
Founded2012—
HeadquartersBoston, Massachusetts, USA—
Employees501–1,000—
FundingCorporate minority round (SBI Holdings)Series E · $280M raised
Best forLarge 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

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

Looker

  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace
  • Developer-centric data modeling via LookML
  • Around 4.5 out of 5 stars on Gartner Peer Insights
  • Quote-only enterprise pricing starting above $60,000 a year
  • Poor fit for NoSQL-heavy data stacks or standalone embedded needs
  • Less suited to teams using macOS without virtual machines

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

Cite as: SlateIndex, “DataRobot vs Looker”, https://slateindex.ai/compare/datarobot-vs-looker, data of Nov 3, 2026. Licence: CC BY 4.0.