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Head to head · 2026

Google Looker vs Wren AI

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Google Looker

A semantic modeling layer that defines metrics once, in code

4.3Not listed

Visit Google Looker (opens Google Looker in a new tab)

Wren AI

Git-native semantic governance, built by Canner as open-source GenBI

4.2Free

Visit Wren AI (opens Wren AI in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Google Looker does not list a price

  • Free plan

    Wren AI

    Only Wren AI has one

  • Higher rating

    Google Looker

    4.3 against 4.2

  • Same job?

    Yes

    Both are Data and Analytics tools

Side by side

Compared onGoogle LookerWren AI
Our rating4.3Better4.2
Starts atNot listedFree
Free planNoYesBetter
CategoryData and AnalyticsData and Analytics
PlansSee pricing
  • Free$0/mo
  • Essential Cloud$179/mo
  • Enterprise Cloud$559/mo
Key features
  • LookML semantic modeling layer for governed metric definitions
  • Metrics defined once, consistent across every dashboard
  • Native integration with BigQuery and Google Cloud data services
  • Owned by Google since a 2019 acquisition
  • No self-serve free tier
  • MDL semantic layer versioned and reviewed like software
  • Git-native branching and pull-request review for metric definitions
  • Multi-step agentic reasoning in sandboxed environments
  • Row and column-level governance across UI, API, and embedded use
  • 20+ data source connectors, dialect-agnostic
Pros
  • Strong metric governance and consistency across an organization
  • Deep native integration with Google Cloud's data services
  • Reduces conflicting numbers across different dashboards
  • Git-native governance applies real software engineering rigor to BI
  • Multi-step agentic reasoning goes beyond single-turn chat
  • Open source with broad database connector support
Cons
  • No free tier or transparent self-serve pricing
  • Code-first LookML approach has a steeper learning curve than drag-and-drop tools
  • Full value requires investment in properly modeling data upfront
  • Git-based workflow assumes comfort with software engineering practices
  • Newer company with a shorter track record than established BI vendors
  • Full governance setup requires real upfront modeling investment
CompanyGoogle, founded 2012Canner, founded 2024

Prices come from each vendor's pricing page, last checked 20260703. Check the vendor before you buy.

FAQ

Questions people ask

Is Google Looker better than Wren AI?

In our reviews Google Looker scores 4.3 and Wren AI scores 4.2. The better pick depends on the job. Google Looker: A semantic modeling layer that defines metrics once, in code. Wren AI: Git-native semantic governance, built by Canner as open-source GenBI.

Which is cheaper, Google Looker or Wren AI?

Google Looker: see pricing. Wren AI: free.

Do Google Looker and Wren AI have free plans?

Only Wren AI has a free plan.

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