Softwr

Spreadsheets · head to head

Looker vs Zenlytic

Looker logo

Looker

Spreadsheets

Modern business intelligence platform by Google

From
On request
Rated
-
Zenlytic logo

Zenlytic

Business Intelligence

Conversational analytics on a governed semantic layer that shows you the SQL it ran

From
On request
Rated
-

The short version

  • Each has a real cost: Looker no pricing published on website; quote-based model requires contacting Google Cloud sales; Zenlytic answer quality is bounded by the semantic model, so a team without a maintained dbt project and metric definitions must complete a modelling project before the AI is useful at all.
  • They diverge on capability: Looker covers LookML Data Modeling, Zenlytic covers Zoe conversational agent.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Looker and Zenlytic actually diverge.

Attributes where Looker and Zenlytic differ
AttributeLookerZenlytic
Pricing modelUnknownquote
PlatformsWeb, Cloud (Google Cloud Platform)Web
CategorySpreadsheetsBusiness Intelligence
Founded2008Unknown

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Looker

  • LookML Data Modeling
  • Embedded Analytics
  • API Access
  • Version Control
  • Data Actions
  • BigQuery
  • Snowflake
  • Redshift

Only in Zenlytic

  • Zoe conversational agent
  • YAML semantic layer
  • LookML import
  • Row and column permissions
  • Dashboards
  • dbt integration
  • Embedded analytics
  • Query transparency

What people use each for

The jobs each tool is most often brought in to do.

Looker

  • Business intelligence and interactive dashboards for data-driven decision makingnot Zenlytic
  • Embedded analytics for integrating BI capabilities into third-party applicationsnot Zenlytic

Zenlytic

  • A data team of three fielding sixty ad hoc requests a week from operators who could answer them in chat insteadnot Looker
  • An ecommerce company where merchandisers need cohort and margin questions answered without waiting for an analystnot Looker
  • A Looker customer looking for an exit that can import existing LookML rather than remodel from scratchnot Looker
  • A finance team that needs every AI-generated number to show its SQL before it goes in a board packnot Looker

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Looker

  • No pricing published on website; quote-based model requires contacting Google Cloud sales
  • Pricing typically based on user count, deployment type, and feature requirements with no transparency

Zenlytic

  • Answer quality is bounded by the semantic model, so a team without a maintained dbt project and metric definitions must complete a modelling project before the AI is useful at all.
  • It is a small venture-funded company in a category that Snowflake, Databricks and Microsoft are all building into natively, which is a real procurement risk on a multi-year contract.
  • Pricing is not published and is negotiated per deal, so small buyers have no benchmark and no leverage.
  • The visualisation and dashboard layer is thinner than established BI tools, so teams wanting pixel control over reporting will find it limiting.
  • It assumes a cloud data warehouse; organisations with data spread across operational databases and spreadsheets have to consolidate first, which is the expensive part of the project.

Pricing, plan by plan

Looker

On request

No published plan breakdown. See the Looker review.

Zenlytic

On request
  • Zenlytic$undefined/year
    • Annual contract quoted by seats and deployment
    • Semantic layer, dashboards and Zoe included
    • Embedded analytics licensed separately

Which should you pick?

Choose Looker if

  • You need lookml data modeling.
  • You work on Web, Cloud (Google Cloud Platform).
  • You also want embedded analytics.

Choose Zenlytic if

  • You need zoe conversational agent.
  • You also want yaml semantic layer.

Questions people ask

Is Looker or Zenlytic better?
Neither clearly leads. Looker starts at On request and Zenlytic at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Looker or Zenlytic?
Looker starts at On request and Zenlytic at On request.
Does Looker or Zenlytic run on more platforms?
Looker runs on Web, Cloud (Google Cloud Platform). Zenlytic runs on Web.
What is Looker best used for?
Looker is most often used for business intelligence and interactive dashboards for data-driven decision making, embedded analytics for integrating bi capabilities into third-party applications. Of those, business intelligence and interactive dashboards for data-driven decision making and embedded analytics for integrating bi capabilities into third-party applications are not what Zenlytic is typically brought in for.
What can Looker do that Zenlytic cannot?
Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.

Answered from the vendors’ own pages

Looker: How much does Looker cost?

Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.

Source
Zenlytic: Does Zenlytic publish pricing?

No. Contracts are quoted annually based on seats and deployment scope.

Looker: What are Looker's pricing tiers?

Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.

Source
Zenlytic: Can it read my Looker model?

Yes, it imports LookML, which is the main reason Looker customers evaluate it.

Zenlytic: Does it write arbitrary SQL against my warehouse?

No. Queries are constrained to the semantic layer, and the generated SQL is shown with every answer.

Zenlytic: Do I need dbt?

Not strictly, but the product is designed around a modelled warehouse and works poorly without one.

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