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Developer Tools · head to head

Cortex vs Databox

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
Databox logo

Databox

Business Intelligence

KPI dashboards that pull from the tools you already run on

From
Free
Free plan
Yes
Visit DataboxFull review

The short version

  • Databox starts at $71/mo; Cortex prices on request.
  • Only Cortex lists service catalogue; only Databox lists pre-built dashboards.
  • Where Databox falls short: data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them.
  • Prices and features on this page were last checked on 25 September 2026.

Where they differ

Only the attributes on which Cortex and Databox actually diverge.

Attributes where Cortex and Databox differ
AttributeCortexDatabox
Starting priceOn requestFree
Pricing modelQuoteSubscription
Free tierNoYes
PlatformsWeb, APIWeb, iOS, Android, TV and console
CategoryDeveloper ToolsBusiness Intelligence

Not yet recorded: founded for Cortex.

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

Only in Databox

  • Pre-built dashboards
  • Dashboard designer
  • Metric library
  • Goal tracking
  • Alerts
  • Scheduled reports
  • Client reporting
  • Benchmarks

Both cover

  • Scorecards

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

Databox

  • Watching marketing, sales and finance KPIs from separate SaaS tools on one shared dashboardnot Cortex
  • Agencies reporting campaign performance to many clients without rebuilding a report per accountnot Cortex
  • Putting a live KPI board on an office TV or a recurring email to a leadership teamnot Cortex
  • Replacing a manually maintained spreadsheet that someone updates from tool exports each weeknot Cortex
  • Tracking goals and getting alerted when a metric moves past a thresholdnot 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

Databox

  • Data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them
  • The $71 Analyst plan is a single seat: adding even a second person means the $199 Core plan, a 2.8x jump
  • AI credits are metered monthly, from 50 on Free to 1,000 on Scale, so heavier AI use pushes you up a tier
  • Every published price assumes annual billing; monthly billing forfeits the advertised 20% saving
  • Free and Analyst plans sync daily and hourly respectively, so neither suits anything close to real-time monitoring
  • It is a dashboarding layer, not a warehouse: there is no transformation or modelling step for messy source data

Pricing, plan by plan

Cortex

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

Databox

Free
  • FreeFree
    • 3 data sources
    • 1 user
    • 50 AI credits per month
  • Analyst$71/mo
    • 5 data sources
    • 1 user
    • 150 AI credits per month
  • Team - Core$199/mo
    • 10 data sources
    • 3 users
    • 500 AI credits per month
  • Team - Scale$319/mo
    • 30 data sources
    • 10 users
    • 1,000 AI credits per month

Which should you pick?

Choose Cortex if

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

Choose Databox if

  • You need pre-built dashboards.
  • You want to start without paying.
  • You work on Web, iOS, Android, TV and console.
  • You also want dashboard designer.
Databox review

Questions people ask

Is Cortex or Databox better?
Neither clearly leads. Cortex starts at On request and Databox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cortex or Databox?
Databox has a free tier; the other does not. Paid plans start at On request for Cortex and Free for Databox.
Does Cortex or Databox run on more platforms?
Cortex runs on Web, API. Databox runs on Web, iOS, Android, TV and console.
Can I use Databox for free?
Yes. Databox 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 Databox is typically brought in for.
What can Cortex do that Databox cannot?
Cortex covers Service catalogue, Initiatives, Self-service templates, Query language. Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking. Both handle Scorecards.

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.

Databox: How much does Databox cost?

Databox has a free forever plan with 3 data sources and 1 user. Paid plans are Analyst at $71 per month, Team Core at $199 per month and Team Scale at $319 per month, with an Agency plan from $79 per month plus $20 client packs and a Custom tier on request. All prices are billed annually; monthly billing forfeits the 20% annual saving.

Source
Cortex: Is pricing published?

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

Databox: Does Databox have a free plan or a free trial?

Both. The Free plan is free forever and covers 3 data sources, 1 user, 50 AI credits a month and daily syncing. Paid plans also offer a 14-day free trial with no credit card required.

Source
Cortex: Can it self-host?

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

Databox: How many users does each Databox plan include?

Free and Analyst are single-user. Team Core includes 3 users and Team Scale includes 10. The Agency and Custom plans include unlimited users.

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.

Databox: How many tools does Databox integrate with?

Databox connects to more than 130 tools, spreadsheets, databases and APIs, including HubSpot, Salesforce, Google Analytics, Google and Facebook Ads, Shopify, Stripe, QuickBooks, Google Sheets and custom API sources.

Source
Databox: How often does Databox refresh its data?

The Free plan syncs daily. Analyst, Team Core, Team Scale, Agency and Custom plans all sync hourly.

Source
Databox: Who makes Databox?

Databox, Inc., founded in 2012 by Davorin Gabrovec, who is now President and Chief Product Officer. Pete Caputa became CEO in 2017 after a decade at HubSpot. The company is headquartered in Boston, Massachusetts, with its product and engineering team based in Ptuj, Slovenia.

Source
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