Cloud · head to head
AWS (Amazon Web Services) vs Cortex

AWS (Amazon Web Services)
Cloud
The leading cloud computing platform
- From
- Free
- Free plan
- Yes

Cortex
Developer Tools
Internal developer portal that scores service ownership and maturity rather than just cataloguing services
- From
- On request
- Free plan
- No
The short version
- Only AWS (Amazon Web Services) has a free tier, so it costs nothing to try first.
- Each has a real cost: AWS (Amazon Web Services) data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills; 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.
- They diverge on capability: AWS (Amazon Web Services) covers EC2 - Virtual Servers, Cortex covers Service catalogue.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which AWS (Amazon Web Services) and Cortex actually diverge.
| Attribute | AWS (Amazon Web Services) | Cortex |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | quote |
| Free tier | Yes | No |
| Platforms | Web, Api, Cli, Mobile | Web, API |
| Category | Cloud | Developer Tools |
| Founded | 2006 | Unknown |
Identical on both: 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 AWS (Amazon Web Services)
- EC2 - Virtual Servers
- S3 - Object Storage
- RDS - Managed Database
- Lambda - Serverless Computing
- CloudFront - CDN
- VPC - Virtual Network
- IAM - Access Management
- CloudWatch - Monitoring
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.
AWS (Amazon Web Services)
- Web hostingnot Cortex
- Data storagenot Cortex
- Machine learningnot Cortex
- Big data analyticsnot Cortex
- Application developmentnot 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 AWS (Amazon Web Services)
- An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot AWS (Amazon Web Services)
- Enforcing production readiness standards on new services at creation time rather than at incident reviewnot AWS (Amazon Web Services)
- Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot AWS (Amazon Web Services)
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
AWS (Amazon Web Services)
- Data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills
- Discounts require one or three year Savings Plan commitments rather than being automatic
- Every service is priced separately, so a working architecture has no single published cost
- The free tier is a promotional allowance rather than an ongoing free plan
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
AWS (Amazon Web Services)
Free- AWS Free TierFree
- EC2 750 hours/month
- 5GB S3 storage
- 20GB data transfer
- Pay-As-You-GoFree
- No upfront payment
- No long-term commitments
- Pay only for what you use
Cortex
On request- Cortex$undefined/year
- Service catalogue and ownership mapping
- Scorecards and initiatives
- Self-service templates
Which should you pick?
Choose AWS (Amazon Web Services) if
- You need ec2 - virtual servers.
- You want to start without paying.
- You work on Web, Api, Cli, Mobile.
- You also want s3 - object storage.
Choose Cortex if
- You need service catalogue.
- You work on Web, API.
- You also want scorecards.
Questions people ask
- Is AWS (Amazon Web Services) or Cortex better?
- Neither clearly leads. AWS (Amazon Web Services) 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, AWS (Amazon Web Services) or Cortex?
- AWS (Amazon Web Services) has a free tier; the other does not. Paid plans start at Free for AWS (Amazon Web Services) and On request for Cortex.
- Does AWS (Amazon Web Services) or Cortex run on more platforms?
- AWS (Amazon Web Services) runs on Web, Api, Cli, Mobile. Cortex runs on Web, API.
- Can I use AWS (Amazon Web Services) for free?
- Yes. AWS (Amazon Web Services) has a free tier, so you can try it without paying. Cortex starts at On request.
- What is AWS (Amazon Web Services) best used for?
- AWS (Amazon Web Services) is most often used for web hosting, data storage, machine learning, big data analytics. Of those, web hosting and data storage are not what Cortex is typically brought in for.
- What can AWS (Amazon Web Services) do that Cortex cannot?
- AWS (Amazon Web Services) covers EC2 - Virtual Servers, S3 - Object Storage, RDS - Managed Database, Lambda - Serverless Computing. Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates.
Answered from the vendors’ own pages
AWS (Amazon Web Services): What are AWS's payment options and pricing models?
AWS offers four pricing approaches: pay-as-you-go (you pay only for what you use), flat-rate plans combining multiple services into one monthly price without overages, Savings Plans offering discounts on compute and machine learning with 1- or 3-year commitments, and volume-based tiered pricing where costs decrease as usage increases.
SourceCortex: 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.
AWS (Amazon Web Services): Are there contracts, termination fees, or commitments required for AWS?
No long-term contracts are required for AWS services. No termination fees apply once you stop using the service. Savings Plans provide optional 1- or 3-year commitments with discounted hourly rates, but you can revert to pay-as-you-go pricing anytime.
SourceCortex: Is pricing published?
No. Cortex requires a sales conversation and prepares a custom proposal.
AWS (Amazon Web Services): Does AWS offer a free tier?
AWS provides a free tier that offers hands-on experience with AWS products at no charge. The free tier allows new customers to try eligible services before committing to paid usage.
SourceCortex: Can it self-host?
It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.
AWS (Amazon Web Services): How do I estimate my AWS costs?
AWS provides the AWS Pricing Calculator and Cost Explorer tool to estimate costs for single or multiple services. AWS also offers cost optimization recommendations, performance reporting, and budget alerts to help track and control spending.
SourceCortex: 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.
Related pages
More on AWS (Amazon Web Services)
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- Cortex vs Microsoft Azure
- Cortex vs Oracle Cloud
- Cortex vs Vultr
- Cortex vs Wasabi
- Cortex vs Linode
- Cortex vs Hetzner Cloud
- Cortex vs Neon
- Cortex vs Scaleway
- Cortex vs Akamai
- Cortex vs OVHcloud
- Cortex vs DigitalOcean
- Cortex vs DeepInfra
- Cortex vs Fireworks AI
- Cortex vs Heroku
- Cortex vs Vault
- Cortex vs Beam Cloud
- Cortex vs Caddy
- Cortex vs Backstage
- Cortex vs OpsLevel
- Cortex vs Earthly
- Cortex vs Spacelift
- Cortex vs Atlantis
- Cortex vs Depot
- Cortex vs Nix
- Cortex vs SonarQube
- Cortex vs Keycloak
- Cortex vs Ona (formerly Gitpod)
- Cortex vs Vite
- Cortex vs Bazel
- Cortex vs Dagger
- Cortex vs Deep Code
- Cortex vs Deno
- Cortex vs Fig
- Cortex vs Frappe
- Cortex vs Git
