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Developer Tools · head to head

Cortex vs Cube

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
Cube logo

Cube

Business Intelligence

AI-native analytics platform with semantic layer and governed access

From
Free
Free plan
Yes
Visit CubeFull review

The short version

  • Cube starts at $40/mo; Cortex prices on request.
  • Only Cortex lists service catalogue; only Cube lists analytics Chat.
  • Where Cube falls short: per-developer licensing can be expensive for large analytics teams.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cortex and Cube actually diverge.

Attributes where Cortex and Cube differ
AttributeCortexCube
Starting priceOn requestFree
Pricing modelQuotePer-developer seats with volume pricing
Free tierNoYes
PlatformsWeb, APIWeb, Self-hosted
CategoryDeveloper ToolsBusiness Intelligence

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 Cube

  • Analytics Chat
  • Workbooks
  • Dashboards
  • Embedded Analytics
  • AI Integrations
  • Core Data APIs
  • Caching and pre-aggregations

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 Cube
  • An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Cube
  • Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Cube
  • Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Cube

Cube

  • Building governed semantic data models for analyticsnot Cortex
  • Embedding analytics into customer-facing productsnot Cortex
  • Enabling natural language data queries for teamsnot Cortex
  • Creating conversational dashboards with AI assistancenot 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

Cube

  • Per-developer licensing can be expensive for large analytics teams
  • Additional cost for Explorer and Viewer roles beyond developers
  • Semantic layer approach requires upfront modeling investment
  • Smaller connector ecosystem than dedicated BI platforms
  • May be overengineered for simple reporting needs

Pricing, plan by plan

Cortex

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

Cube

Free
  • FreeFree
    • For hobbyists and personal projects
    • Basic data source connection
    • Semantic modeling
  • Starter$40
    • Extended agent limits
    • Premium LLMs
    • Unlimited workbooks
  • Premium$80
    • All Starter features
    • Embedded dashboards
    • Embedded analytics chat
  • EnterpriseOn request
    • 99.990% uptime SLA
    • Dedicated single-tenant installation
    • Bring Your Own Cloud

Which should you pick?

Choose Cortex if

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

Choose Cube if

  • You need analytics chat.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want workbooks.
Cube review

Questions people ask

Is Cortex or Cube better?
Neither clearly leads. Cortex starts at On request and Cube at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cortex or Cube?
Cube has a free tier; the other does not. Paid plans start at On request for Cortex and Free for Cube.
Does Cortex or Cube run on more platforms?
Cortex runs on Web, API. Cube runs on Web, Self-hosted.
Can I use Cube for free?
Yes. Cube has a free tier, so you can try it without paying. Cortex starts at On request.
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 Cube is typically brought in for.
What can Cortex do that Cube cannot?
Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. Cube covers Analytics Chat, Workbooks, Dashboards, Embedded Analytics.

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.

Cube: What is the cost per developer on Cube?

Starter plan costs $40/developer/month. Premium adds embedded analytics at $80/developer/month. Explorer and Viewer roles cost $40 and $20/month respectively.

Source
Cortex: Is pricing published?

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

Cube: What uptime SLAs does Cube offer?

Premium plan offers 99.950% uptime SLA. Enterprise plan provides 99.990% uptime SLA with dedicated support.

Source
Cortex: Can it self-host?

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

Cube: Can I use Cube for free?

Yes, the Free plan includes basic data source connection, semantic modeling, workbooks, and dashboards for hobbyists and personal projects.

Source
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.

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