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Databases · head to head

Apache Pinot vs Hasura

Apache Pinot logo

Apache Pinot

Databases

Real-time distributed OLAP datastore for analytics

From
Free
Rated
-
Hasura logo

Hasura

APIs

GraphQL engine that instantly creates production-ready GraphQL API from databases

From
Free
Rated
-

The short version

  • Each has a real cost: Apache Pinot self-hosted and distributed, so running it means operating a cluster rather than consuming a service; Hasura active model definition: model/command accessed more than 1,000 times monthly
  • They diverge on capability: Apache Pinot covers Real-time Analytics, Hasura covers GraphQL API.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apache Pinot and Hasura differ
AttributeApache PinotHasura
Pricing modelopen-sourcefreemium
PlatformsLinux, Docker, KubernetesWeb
CategoryDatabasesAPIs
Founded19992017

Identical on both: starting price (Free), free tier (Yes), 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 Apache Pinot

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

Only in Hasura

  • GraphQL API
  • Real-time subscriptions
  • Access control
  • PostgreSQL
  • MySQL
  • Webhooks
  • REST APIs
  • Cloud support

Both cover

  • Docker support
  • Kubernetes support

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 Hasura
  • User-facing dashboards inside a productnot Hasura
  • Real-time metrics at high ingest ratesnot Hasura
  • Petabyte-scale analytics as run at LinkedIn and Ubernot Hasura

Hasura

  • Automatic GraphQL API generation from existing databasesnot Apache Pinot
  • Real-time data subscriptions for modern applicationsnot Apache Pinot
  • Backend infrastructure for web and mobile applicationsnot Apache Pinot
  • Event-triggered webhooks for database changesnot 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

Hasura

  • Active model definition: model/command accessed more than 1,000 times monthly
  • Private DDN requires Base or Advanced plan

Pricing, plan by plan

Apache Pinot

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

Hasura

Free
  • DDN FreeFree
    • Unlimited models
    • 1 supergraph developer
    • 15-minute observability retention
  • DDN Base$5/month
    • Per active model billing
    • Unlimited developers
    • 30-day observability retention
  • DDN Advanced$30/month
    • Per active model billing
    • Federated collaboration
    • Multi-repo CI/CD

Which should you pick?

Choose Apache Pinot if

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

Choose Hasura if

  • You need graphql api.
  • You want to start without paying.
  • You also want real-time subscriptions.

Questions people ask

Is Apache Pinot or Hasura better?
Neither clearly leads. Apache Pinot starts at Free and Hasura at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Pinot or Hasura?
Apache Pinot starts at Free and Hasura at Free.
Does Apache Pinot or Hasura run on more platforms?
Apache Pinot runs on Linux, Docker, Kubernetes. Hasura runs on Web.
Can I use Apache Pinot for free?
Both have a free tier, so you can try either at no cost before committing.
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 Hasura is typically brought in for.
What can Apache Pinot do that Hasura cannot?
Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Hasura covers GraphQL API, Real-time subscriptions, Access control, PostgreSQL. Both handle Docker support, Kubernetes support.

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
Hasura: How much does Hasura cost?

Hasura DDN Free is free. DDN Base starts at $5/active model/month, and DDN Advanced starts at $30/active model/month.

Source
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
Hasura: What is an active model in Hasura pricing?

An active model is defined as any model or command accessed more than 1,000 times monthly.

Source
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
Hasura: Is there a free version of Hasura?

Yes, Hasura DDN Free is always free and includes unlimited models, 1 supergraph developer, and 15-minute observability retention.

Source
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
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