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Databases · head to head

Apache Pinot vs Neon

Apache Pinot logo

Apache Pinot

Databases

Real-time distributed OLAP datastore for analytics

From
Free
Rated
-
Neon logo

Neon

Cloud

Serverless Postgres for modern developers

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; Neon compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
  • They diverge on capability: Apache Pinot covers Real-time Analytics, Neon covers Serverless PostgreSQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apache Pinot and Neon differ
AttributeApache PinotNeon
Pricing modelopen-sourceUnknown
PlatformsLinux, Docker, KubernetesCloud
CategoryDatabasesCloud
Founded19992021

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 Neon

  • Serverless PostgreSQL
  • Database Branching
  • Autoscaling
  • Bottomless Storage
  • Point-in-time Recovery
  • Connection Pooling
  • Read Replicas
  • Instant Cloning

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

Neon

  • Serverless applicationsnot Apache Pinot
  • Development databasesnot Apache Pinot
  • Preview environmentsnot Apache Pinot
  • Testingnot 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

Neon

  • Compute pricing at $0.106-$0.222/CU-hour means costs scale directly with workload, unlike fixed-price alternatives
  • Separation of compute and storage may add complexity to cost prediction compared to all-in-one plans

Pricing, plan by plan

Apache Pinot

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

Neon

Free
  • FreeFree
    • 100 CU-hours/month
    • 0.5 GB storage
    • 1 project
  • Launch$15/month
    • Pay-as-you-go compute
    • $0.35/GB storage
    • Multiple projects
  • Scale$31/month
    • Higher compute rates
    • 99.95% SLA
    • HIPAA compliance

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 Neon if

  • You need serverless postgresql.
  • You want to start without paying.
  • You work on Cloud.
  • You also want database branching.

Questions people ask

Is Apache Pinot or Neon better?
Neither clearly leads. Apache Pinot starts at Free and Neon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Pinot or Neon?
Apache Pinot starts at Free and Neon at Free.
Does Apache Pinot or Neon run on more platforms?
Apache Pinot runs on Linux, Docker, Kubernetes. Neon runs on Cloud.
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 Neon is typically brought in for.
What can Apache Pinot do that Neon cannot?
Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Neon covers Serverless PostgreSQL, Database Branching, Autoscaling, Bottomless Storage.

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
Neon: What is Neon and what makes it different?

Neon is a serverless PostgreSQL database that separates compute and storage, enabling automatic scaling and instant database branching. After acquisition by Databricks in May 2025, pricing has been significantly reduced.

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
Neon: Does Neon offer a free tier?

Yes, Neon's free tier includes 100 compute units per month and 0.5 GB of storage. This is suitable for development and small projects.

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
Neon: What are the paid plans and pricing for Neon?

Neon offers consumption-based pricing on Launch ($0.106/CU-hour, approximately $15/month) and Scale ($0.222/CU-hour, approximately $31/month) plans with separate storage billing at $0.35/GB-month. No monthly minimum required.

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
Neon: What features does Neon provide?

Neon includes git-like branching for database copies, point-in-time recovery, data anonymization for testing, managed authentication, serverless functions, and object storage that branches with projects.

Source
Neon: What compliance and reliability guarantees does Neon provide?

Neon's Scale tier offers 99.95% uptime SLA, HIPAA compliance, SOC2 certification, and private networking via PrivateLink at no extra cost.

Source
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