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LookerAgentic business intelligence and embedded analytics on Google Cloud
vs
MetabaseOpen source AI analytics you can verify
Comparison · Business Intelligence · weekly run Nov 2

Looker vs Metabase

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 Business Intelligence: it has a visibility score of 29.8 versus 21.7 for Metabase, and ranks ahead in 50% of the answers that name both.

Choose Looker if…

  • You want the brand AI engines rank higher (29.8 vs 21.7)
  • You need SOC 2 or ISO 27001 or FedRAMP or HIPAA coverage
  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace

Choose Metabase if…

  • AI answers describe it more positively (63% vs 30% positive)
  • You need SOC 1 or SOC 2 Type II or GDPR or CCPA coverage
  • Free open-source edition for self-hosting
  • Easy to deploy and user-friendly

AI visibility side by side

Latest weekly run · Nov 2

Metric Looker Metabase
Visibility score29.8%21.7%
Change vs last weekNewNew
Rank in Business Intelligence#3#5
Share of voice8.1%5.2%
Mentions this run4227
Positive in AI answers30%63%

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 2Looker 30%

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

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
37.2%
25.9%
AI Mode
28.5%
18.7%
Perplexity
23.5%
20.6%
LookerMetabase

Head to head in AI answers

14 engine answers name both brands

7Looker ranked higher
7Metabase ranked higher

Features, pricing & fit

DimensionLookerMetabase
Pricing model—Per seat
Entry price—Free; paid from $100 per seat / mo
Free plan—Yes
DeploymentGoogle CloudSelf-hosted or Metabase Cloud, with air-gapped deployment available on Enterprise
Integrations—237+
ComplianceSOC 2, ISO 27001, FedRAMP, HIPAASOC 1, SOC 2 Type II, GDPR, CCPA
Support—Email, Support form, Slack, Microsoft Teams
Founded—2014
Employees—51–200
FundingSeries E · $280M raisedSeries B · $43M raised
Best for—Teams that want self-service analytics without relying on engineers, and software companies that need to embed analytics in their product

Plans side by side

Looker

Pricing not available.

Metabase

Open Source$0free, self-hosted, unlimited users
Starter$100month (5 users included, +$6/user/month)
Pro$575month (10 users included, +$12/user/month)
EnterpriseCustomcustom pricing (starts at $20,000 / year)
Metabase pricing

Pros and cons

Themes from the AI answers that mention each brand

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

Metabase

  • Free open-source edition for self-hosting
  • Easy to deploy and user-friendly
  • No-code visual builder and SQL for non-technical users
  • Affordable, low-cost BI
  • Best default starting point for startups and small teams
  • Self-hosting means handling hosting, security, backups and updates yourself
  • Extra token-based AI or custom usage fees on top of plans

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

Cite as: SlateIndex, “Looker vs Metabase”, https://slateindex.ai/compare/looker-vs-metabase, data of Nov 2, 2026. Licence: CC BY 4.0.