Developer Tools · head to head
Cortex vs Dremio
Cortex
Developer Tools
Internal developer portal that scores service ownership and maturity rather than just cataloguing services
- From
- On request
- Free plan
- No
Dremio
Databases
SQL query engine and lakehouse layer over Iceberg tables in object storage
- From
- Free
- Free plan
- Yes
The short version
- Dremio starts at $0.2/mo; Cortex prices on request.
- Only Cortex lists self-service templates; only Dremio lists arrow-based execution.
- Where Dremio falls short: Dremio Cloud is AWS-first, which leaves Azure and Google Cloud customers on the self-managed path with the operational burden that entails.
- Prices and features on this page were last checked on 31 August 2026.
Where they differ
Only the attributes on which Cortex and Dremio actually diverge.
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 Dremio
- Arrow-based execution
- Reflections
- Semantic layer
- Iceberg catalogue
- Federated queries
- Autonomous management
- Fine-grained access control
- BI connectors
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 Dremio
- An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Dremio
- Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Dremio
- Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Dremio
Dremio
- A company with petabytes of Parquet in S3 that wants BI dashboards without duplicating it into a warehousenot Cortex
- A data platform team standardising on Apache Iceberg and needing a SQL engine plus catalogue that does not lock the tables innot Cortex
- An analytics group accelerating slow lake queries with Reflections instead of hand-built aggregate tablesnot Cortex
- A regulated enterprise that must keep data on premises but wants a modern lakehouse SQL layernot 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
Dremio
- Reflections consume compute and storage to build and refresh continuously, so a team that enables them widely discovers that background maintenance rather than user queries drives the DCU bill
- Self-managing Dremio on Kubernetes requires real platform engineering capacity for tuning executors, memory and coordinator sizing, and it is not comparable in effort to running a managed warehouse
- The Community Edition lacks the security and governance features most enterprises require, so the free tier is a trial path rather than a viable production option for regulated buyers
- Dremio Cloud is AWS-first, which leaves Azure and Google Cloud customers on the self-managed path with the operational burden that entails
- Query performance without Reflections on raw, poorly laid out files is often unremarkable, so the promise of querying the lake as is depends on file layout work you still have to do
Pricing, plan by plan
Cortex
On request- CortexOn request
- Service catalogue and ownership mapping
- Scorecards and initiatives
- Self-service templates
Dremio
Free- Community EditionFree
- Self-managed on your own hardware
- SQL engine and semantic layer
- No vendor support
- Dremio Cloud$0.2/hour
- Billed at $0.20 per Dremio Compute Unit
- Includes query execution, Reflections and background processing
- 400 dollar trial credit for 30 days
- EnterpriseOn request
- Self-managed on Kubernetes, on premises or any cloud
- Enterprise security, SSO and governance
- Vendor support with SLA
Which should you pick?
Choose Cortex if
- You need service catalogue.
- You work on Web, API.
- You also want scorecards.
Choose Dremio if
- You need arrow-based execution.
- You want to start without paying.
- You work on Linux, Self-hosted, Web.
- You also want reflections.
Questions people ask
- Is Cortex or Dremio better?
- Neither clearly leads. Cortex starts at On request and Dremio at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cortex or Dremio?
- Dremio has a free tier; the other does not. Paid plans start at On request for Cortex and Free for Dremio.
- Does Cortex or Dremio run on more platforms?
- Cortex runs on Web, API. Dremio runs on Linux, Self-hosted, Web.
- Can I use Dremio for free?
- Yes. Dremio 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 Dremio is typically brought in for.
- What can Cortex do that Dremio cannot?
- Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates. Dremio covers Arrow-based execution, Reflections, Semantic layer, Iceberg catalogue.
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.
Dremio: How is Dremio Cloud billed?
At 0.20 US dollars per Dremio Compute Unit, which counts query execution, Reflection building and platform overhead, not just user queries.
Cortex: Is pricing published?
No. Cortex requires a sales conversation and prepares a custom proposal.
Dremio: Is there a free version?
Yes, a Community Edition you self-manage, but it omits the enterprise security and governance features and comes with no support.
Cortex: Can it self-host?
It is offered as a hosted product; on-premise arrangements are handled through sales rather than published.
Dremio: Does it lock in my data?
No, tables stay in Apache Iceberg or Parquet in your own object storage and can be read by Spark, Trino or other engines.
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.
Dremio: Do I still need a warehouse?
Often not for analytics, but Dremio is not a transactional store and high-concurrency operational serving is not its strength.
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