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Developer Tools · head to head

Cortex vs Zenlytic

Cortex logo

Cortex

Developer Tools

Internal developer portal that scores service ownership and maturity rather than just cataloguing services

From
On request
Free plan
No
Visit CortexFull review
Zenlytic logo

Zenlytic

Business Intelligence

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

From
On request
Free plan
No
Visit ZenlyticFull review

The short version

  • Only Cortex lists service catalogue; only Zenlytic lists zoe conversational agent.
  • Where Zenlytic falls short: pricing is not published and is negotiated per deal, so small buyers have no benchmark and no leverage.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cortex and Zenlytic actually diverge.

Attributes where Cortex and Zenlytic differ
AttributeCortexZenlytic
PlatformsWeb, APIWeb
CategoryDeveloper ToolsBusiness Intelligence

Identical on both: starting price (On request), pricing model (Quote), free tier (No).

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 Cortex

  • Service catalogue
  • Scorecards
  • Initiatives
  • Self-service templates
  • Query language
  • Eng intelligence
  • Integrations layer
  • On-call and ownership mapping

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.

Cortex

  • A platform team that needs to prove to leadership how far a Kubernetes or framework migration has actually progressed across hundreds of servicesnot Zenlytic
  • An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Zenlytic
  • Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Zenlytic
  • Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Zenlytic

Zenlytic

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

Where each one falls short

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

Cortex

  • Pricing is quote only, so a platform team cannot build a business case or compare against the true cost of self-hosted Backstage without entering a sales cycle first
  • The catalogue is only as accurate as the metadata you supply, so an organisation with inconsistent repository conventions spends its first quarter cleaning data before any scorecard means anything
  • Scorecards create political friction: publishing a per-team grade turns an engineering standard into a performance metric, and teams will game the rules rather than fix the underlying issue
  • It is closed source and hosted, so organisations with strict data residency or air-gap requirements have limited options compared with running Backstage themselves
  • Value scales with organisation size, so a company with fifty engineers and thirty services will find the catalogue tells them nothing they did not already know while still paying an enterprise contract

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

Cortex

On request
  • CortexOn request
    • Service catalogue and ownership mapping
    • Scorecards and initiatives
    • Self-service templates

Zenlytic

On request
  • ZenlyticOn request
    • Annual contract quoted by seats and deployment
    • Semantic layer, dashboards and Zoe included
    • Embedded analytics licensed separately

Which should you pick?

Choose Cortex if

  • You need service catalogue.
  • You work on Web, API.
  • You also want scorecards.
Cortex review

Choose Zenlytic if

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

Questions people ask

Is Cortex or Zenlytic better?
Neither clearly leads. Cortex 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, Cortex or Zenlytic?
Cortex starts at On request and Zenlytic at On request.
Does Cortex or Zenlytic run on more platforms?
Cortex runs on Web, API. Zenlytic runs on Web.
What is Cortex best used for?
Cortex is most often used for a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services, an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions, enforcing production readiness standards on new services at creation time rather than at incident review, replacing a self-hosted backstage that is consuming a full-time engineer or two just to stay upgraded. Of those, a platform team that needs to prove to leadership how far a kubernetes or framework migration has actually progressed across hundreds of services and an organisation where ownership of production services is genuinely unknown after reorganisations or acquisitions are not what Zenlytic is typically brought in for.
What can Cortex do that Zenlytic cannot?
Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. Zenlytic covers Zoe conversational agent, YAML semantic layer, LookML import, Row and column permissions.

Answered from the vendors’ own pages

Cortex: How is Cortex different from Backstage?

Backstage is an open source framework you build and staff. Cortex is a hosted product with scorecards and initiatives out of the box and no platform team required to keep it running.

Zenlytic: Does Zenlytic publish pricing?

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

Cortex: Is pricing published?

No. Cortex requires a sales conversation and prepares a custom proposal.

Zenlytic: Can it read my Looker model?

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

Cortex: Can it self-host?

It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.

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.

Cortex: What is the main adoption risk?

Bad or missing service metadata. The catalogue and every scorecard on top of it inherit whatever quality your repositories already have.

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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