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Databases · head to head

Apache Pinot vs Cortex

Apache Pinot logo

Apache Pinot

Databases

Real-time distributed OLAP datastore for analytics

From
Free
Free plan
Yes
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

The short version

  • Apache Pinot is a real-time distributed OLAP datastore.
  • Apache Pinot is free; Cortex prices on request.
  • Only Apache Pinot lists real-time Analytics; only Cortex lists service catalogue.
  • Where Apache Pinot falls short: self-hosted and distributed, so running it means operating a cluster rather than consuming a service.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Apache Pinot and Cortex actually diverge.

Attributes where Apache Pinot and Cortex differ
AttributeApache PinotCortex
Starting priceFreeOn request
Pricing modelOpen-sourceQuote
Free tierYesNo
PlatformsLinux, Self-hostedWeb, 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 Apache Pinot

  • Real-time Analytics
  • Column-oriented
  • Distributed Processing
  • SQL Support
  • Pluggable Indexing
  • Star-tree Index
  • Upsert Support
  • Kafka

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.

Apache Pinot

  • Sub-second analytics queries on freshly ingested datanot Cortex
  • User-facing dashboards inside a productnot Cortex
  • Real-time metrics at high ingest ratesnot Cortex
  • Petabyte-scale analytics as run at LinkedIn and Ubernot 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 Apache Pinot
  • An organisation where ownership of production services is genuinely unknown after reorganisations or acquisitionsnot Apache Pinot
  • Enforcing production readiness standards on new services at creation time rather than at incident reviewnot Apache Pinot
  • Replacing a self-hosted Backstage that is consuming a full-time engineer or two just to stay upgradednot Apache Pinot

Where each one falls short

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

Apache Pinot

  • Self-hosted and distributed, so running it means operating a cluster rather than consuming a service
  • Managed hosting comes from third parties such as StarTree rather than from the project
  • Built for user-facing real-time OLAP, so it is not a general purpose database

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

Apache Pinot

Free
  • Open SourceFree
    • Real-time analytics
    • SQL queries
    • Horizontal scaling

Cortex

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

Which should you pick?

Choose Apache Pinot if

  • You need real-time analytics.
  • You want to start without paying.
  • You work on Linux, Self-hosted.
  • You also want column-oriented.

Choose Cortex if

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

Questions people ask

Is Apache Pinot or Cortex better?
Neither clearly leads. Apache Pinot 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, Apache Pinot or Cortex?
Apache Pinot has a free tier; the other does not. Paid plans start at Free for Apache Pinot and On request for Cortex.
Does Apache Pinot or Cortex run on more platforms?
Apache Pinot runs on Linux, Self-hosted. Cortex runs on Web, API.
Can I use Apache Pinot for free?
Yes. Apache Pinot has a free tier, so you can try it without paying. Cortex starts at On request.
What is Apache Pinot best used for?
Apache Pinot is most often used for sub-second analytics queries on freshly ingested data, user-facing dashboards inside a product, real-time metrics at high ingest rates, petabyte-scale analytics as run at linkedin and uber. Of those, sub-second analytics queries on freshly ingested data and user-facing dashboards inside a product are not what Cortex is typically brought in for.
What can Apache Pinot do that Cortex cannot?
Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Cortex covers Service catalogue, Scorecards, Initiatives, Self-service templates.

Answered from the vendors’ own pages

Apache Pinot: How much does Apache Pinot cost?

Apache Pinot is free and open-source. It is provided under the Apache License, which allows free use, modification, and distribution.

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.

Apache Pinot: Is Apache Pinot free for commercial use?

Yes. Apache Pinot is licensed under the Apache License, which explicitly permits commercial use at no cost.

Source
Cortex: Is pricing published?

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

Apache Pinot: Can I run Apache Pinot locally or with Docker?

Yes. Apache Pinot offers a Docker quickstart and free downloads of the latest version (1.5.1 at the time of the page). You are responsible for hosting and infrastructure.

Source
Cortex: Can it self-host?

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

Apache Pinot: Are there restrictions on how I can use Apache Pinot?

The Apache License permits unrestricted use, but requires retention of license notices and statements. No usage limits or feature restrictions are enforced.

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.

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