Developer Tools · head to head
Cortex vs Immuta
Cortex
Developer Tools
Internal developer portal that scores service ownership and maturity rather than just cataloguing services
- From
- On request
- Free plan
- No
Immuta
Databases
Attribute-based access control and masking applied inside Snowflake, Databricks and BigQuery
- From
- On request
- Free plan
- No
The short version
- Only Cortex lists service catalogue; only Immuta lists attribute-based policy.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Cortex and Immuta actually diverge.
Identical on both: starting price (On request), pricing model (Quote), free tier (No), platforms (Web, API).
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 Immuta
- Attribute-based policy
- Native enforcement
- Dynamic masking
- Row-level filtering
- Purpose-based access
- Sensitive data tagging
- Audit logging
- Multi-platform
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 Immuta
- An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Immuta
- Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Immuta
- Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Immuta
Immuta
- A bank whose Snowflake estate has grown to tens of thousands of roles that no one can review before an auditnot Cortex
- A healthcare analytics team that must let researchers query patient data with identifiers masked unless a specific purpose is recordednot Cortex
- A multinational applying different residency and access rules per jurisdiction to the same tables without duplicating datasetsnot Cortex
- An organisation running both Snowflake and Databricks that wants one policy set rather than two divergent implementationsnot 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
Immuta
- Contracts commonly start around one hundred to two hundred thousand US dollars a year for mid-market deployments and exceed five hundred thousand at enterprise scale, which excludes most data teams without a regulatory mandate
- Policy is only as good as the data classification underneath it, so an organisation with poorly tagged columns will spend months on classification before Immuta enforces anything useful
- Native enforcement means capability varies by platform, and a feature available on Snowflake may be absent or behave differently on BigQuery, which undermines the promise of one policy set everywhere
- Adding an access governance layer creates a new dependency in the path to data: a misconfigured policy silently returns fewer rows rather than erroring, and analysts can act on incomplete results without noticing
- It governs cloud data platforms, so personal data in operational databases, files and SaaS applications sits outside its scope and needs separate controls, meaning Immuta is rarely the whole answer
Pricing, plan by plan
Cortex
On request- CortexOn request
- Service catalogue and ownership mapping
- Scorecards and initiatives
- Self-service templates
Immuta
On request- Immuta PlatformOn request
- Attribute-based policy authoring
- Native enforcement in supported data platforms
- Dynamic masking and row-level security
Which should you pick?
Choose Cortex if
- You need service catalogue.
- You work on Web, API.
- You also want scorecards.
Choose Immuta if
- You need attribute-based policy.
- You work on Web, API.
- You also want native enforcement.
Questions people ask
- Is Cortex or Immuta better?
- Neither clearly leads. Cortex starts at On request and Immuta at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cortex or Immuta?
- Cortex starts at On request and Immuta at On request.
- Does Cortex or Immuta run on more platforms?
- Both run on Web, API, so platform support will not decide this one for you.
- 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 Immuta is typically brought in for.
- What can Cortex do that Immuta cannot?
- Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. Immuta covers Attribute-based policy, Native enforcement, Dynamic masking, Row-level filtering.
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.
Immuta: Does Immuta sit in the query path?
No. It compiles policies into the data platform's own native controls, so queries run at normal speed through your existing tools.
Cortex: Is pricing published?
No. Cortex requires a sales conversation and prepares a custom proposal.
Immuta: What does it cost?
Not published. Market data suggests roughly 100,000 to 200,000 US dollars a year for mid-market deployments and considerably more at enterprise scale.
Cortex: Can it self-host?
It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.
Immuta: Is Immuta still independent?
Yes. It remains independently owned, unlike several competitors in data access governance that have been acquired.
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.
Immuta: Does it work across more than one warehouse?
Yes, one policy set can target Snowflake, Databricks, BigQuery and Starburst, though enforcement capability varies by platform.
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- Immuta vs Teradata
- Immuta vs Dgraph
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