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Databases · head to head

Amazon Aurora vs Cortex

Amazon Aurora logo

Amazon Aurora

Databases

MySQL and PostgreSQL-compatible relational database built for the cloud

From
Free
Free plan
Yes
Visit Amazon AuroraFull review
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

The short version

  • Amazon Aurora is a MySQL and PostgreSQL-compatible relational database.
  • Amazon Aurora starts at $0.12/mo; Cortex prices on request.
  • Only Amazon Aurora lists MySQL/PostgreSQL Compatible; only Cortex lists service catalogue.
  • Where Amazon Aurora falls short: aurora requires AWS ecosystem knowledge and integration with other AWS services.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Amazon Aurora and Cortex actually diverge.

Attributes where Amazon Aurora and Cortex differ
AttributeAmazon AuroraCortex
Starting priceFreeOn request
Pricing modelUsage-basedQuote
Free tierYesNo
PlatformsWebWeb, API
CategoryDatabasesDeveloper Tools

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 Amazon Aurora

  • MySQL/PostgreSQL Compatible
  • 5x MySQL Performance
  • Auto-scaling Storage
  • Global Database
  • Serverless v2
  • Multi-master
  • Fault Tolerant
  • AWS Lambda

Only in Cortex

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

What people use each for

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

Amazon Aurora

  • Transaction processingnot Cortex
  • Data storagenot Cortex
  • Application backendnot Cortex
  • Reportingnot Cortex
  • Data analyticsnot Cortex

Cortex

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

Where each one falls short

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

Amazon Aurora

  • Aurora requires AWS ecosystem knowledge and integration with other AWS services
  • Pricing can become expensive with high-traffic applications using many read replicas
  • Limited support for non-relational data types compared to NoSQL alternatives

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

Pricing, plan by plan

Amazon Aurora

Free
  • Serverless v2$0.12/hour
    • Auto-scaling
    • Pay per ACU
    • Instant scaling
  • Provisioned$29/mo
    • Dedicated instances
    • Predictable performance
    • Reserved capacity

Cortex

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

Which should you pick?

Choose Amazon Aurora if

  • You need mysql/postgresql compatible.
  • You want to start without paying.
  • You also want 5x mysql performance.
Amazon Aurora review

Choose Cortex if

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

Questions people ask

Is Amazon Aurora or Cortex better?
Neither clearly leads. Amazon Aurora starts at Free and Cortex at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Aurora or Cortex?
Amazon Aurora has a free tier; the other does not. Paid plans start at Free for Amazon Aurora and On request for Cortex.
Does Amazon Aurora or Cortex run on more platforms?
Amazon Aurora runs on Web. Cortex runs on Web, API.
Can I use Amazon Aurora for free?
Yes. Amazon Aurora has a free tier, so you can try it without paying. Cortex starts at On request.
What is Amazon Aurora best used for?
Amazon Aurora is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Cortex is typically brought in for.
What can Amazon Aurora do that Cortex cannot?
Amazon Aurora covers MySQL/PostgreSQL Compatible, 5x MySQL Performance, Auto-scaling Storage, Global Database. Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates.

Answered from the vendors’ own pages

Amazon Aurora: Is Amazon Aurora compatible with MySQL and PostgreSQL?

Yes, Amazon Aurora offers MySQL and PostgreSQL compatibility with full compatibility to their open-source counterparts, allowing you to migrate existing databases with standard tools.

Source
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.

Amazon Aurora: What uptime SLA does Amazon Aurora provide?

Aurora is designed for up to 99.99% single-region uptime and 99.999% multi-region uptime with automatic failover.

Source
Cortex: Is pricing published?

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

Amazon Aurora: How much does Amazon Aurora cost?

Aurora uses serverless, usage-based pricing where you pay only for consumed capacity. Typical pricing ranges from $50-70 per month for minimal setups to $400-600 per month for small production clusters.

Source
Cortex: Can it self-host?

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

Amazon Aurora: Can Amazon Aurora scale automatically?

Yes, Aurora automatically scales to match workload demands without performance degradation, supporting both read and write scaling.

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.

Amazon Aurora: How many read replicas does Aurora support?

Aurora supports up to 15 low-latency read replicas for distributing read traffic across your application.

Source
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