Cybersecurity · head to head
BigID vs Cortex
BigID
Cybersecurity
Data discovery and classification across cloud, on-premise and unstructured stores
- From
- On request
- Free plan
- No
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
- Each has a real cost: BigID pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.; 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: BigID covers Structured and unstructured scanning, Cortex covers Service catalogue.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which BigID and Cortex actually diverge.
Identical on both: starting price (On request), pricing model (quote), free tier (No), 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 BigID
- Structured and unstructured scanning
- Identity correlation
- Data security posture management
- Access intelligence
- Privacy request support
- Retention and minimisation
- AI data controls
- Policy and remediation workflow
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.
BigID
- A bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migrationnot Cortex
- A privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s recordsnot Cortex
- A security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker doesnot Cortex
- A company building retrieval augmented AI that must exclude regulated personal data from the index it feeds to a modelnot 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 BigID
- An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot BigID
- Enforcing production readiness standards on new services at creation time rather than at incident reviewnot BigID
- Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot BigID
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
BigID
- Pricing scales with data sources and volume, so the cost rises exactly as the estate you need to scan grows, and the modules shown in a demo, including AI security posture and headless deployment, are frequently separate licences that appear only in the final quote.
- Scanning large unstructured estates is slow and computationally expensive, so most organisations sample rather than scan everything, which reintroduces uncertainty into the very question they bought the tool to settle.
- Classification accuracy on messy unstructured content requires tuning, and out of the box false positives on things like reference numbers create a large triage backlog that a small governance team cannot clear.
- It discovers and reports but does not remediate, so realising value requires a separate process and often separate tooling to actually delete, restrict or move the data it flags.
- It is built for large enterprises and both the price and the administrative overhead are disproportionate below a few thousand employees, where a lighter DSPM tool covers the security use case for far less.
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
BigID
On request- BigID Platform$undefined/year
- Priced by number of data sources and data volume
- Discovery and classification core
- Optional DSPM, access intelligence and AI security modules licensed separately
Cortex
On request- Cortex$undefined/year
- Service catalogue and ownership mapping
- Scorecards and initiatives
- Self-service templates
Which should you pick?
Choose BigID if
- You need structured and unstructured scanning.
- You work on Web, API, Self-hosted.
- You also want identity correlation.
Choose Cortex if
- You need service catalogue.
- You work on Web, API.
- You also want scorecards.
Questions people ask
- Is BigID or Cortex better?
- Neither clearly leads. BigID starts at On request and Cortex at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, BigID or Cortex?
- BigID starts at On request and Cortex at On request.
- Does BigID or Cortex run on more platforms?
- BigID runs on Web, API, Self-hosted. Cortex runs on Web, API.
- What is BigID best used for?
- BigID is most often used for a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration, a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records, a security team wanting to find sensitive data sitting in publicly readable object storage buckets before an attacker does, a company building retrieval augmented ai that must exclude regulated personal data from the index it feeds to a model. Of those, a bank that has to prove which of thirty year old file shares contain customer identifiers before a data centre migration and a privacy team that cannot fulfil deletion requests because nobody knows which unstructured stores hold a given customer’s records are not what Cortex is typically brought in for.
- What can BigID do that Cortex cannot?
- BigID covers Structured and unstructured scanning, Identity correlation, Data security posture management, Access intelligence. Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates.
Answered from the vendors’ own pages
BigID: What does BigID cost?
It is quoted by data source count and volume. Reported contracts run from roughly 15,000 to 175,000 US dollars a year, and add-on modules such as AI security posture are licensed on top.
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.
BigID: Does it handle unstructured data?
Yes, and that is its main advantage. It classifies data in files and shares and correlates findings back to individuals, not just to data types.
Cortex: Is pricing published?
No. Cortex requires a sales conversation and prepares a custom proposal.
BigID: Will it delete the data it finds?
Not by itself in most deployments. It identifies and routes findings; deletion and remediation happen through your own processes or connected systems.
Cortex: Can it self-host?
It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.
BigID: Is it a privacy tool or a security tool?
Both are sold from the same discovery core. Buyers increasingly come from security wanting data security posture management rather than from legal wanting privacy.
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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