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Databases · head to head

Apache Pinot vs Netdata

Apache Pinot logo

Apache Pinot

Databases

Real-time distributed OLAP datastore for analytics

From
Free
Rated
-
Full reviewWebsite
Netdata logo

Netdata

Networking

Per-second metrics collection with automatic dashboards and on-node anomaly detection

From
Free
Rated
-
Full reviewWebsite

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; Netdata the dashboard interface is under a restrictive Netdata licence rather than GPL and is served from Netdata infrastructure by default, so the deployment is not fully self-contained without extra configuration.
  • They diverge on capability: Apache Pinot covers Real-time Analytics, Netdata covers Per-second collection.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Apache Pinot and Netdata differ
AttributeApache PinotNetdata
Pricing modelopen-sourceOpen source, no licence fee
PlatformsLinux, Docker, KubernetesLinux, macOS, FreeBSD, Docker, Kubernetes, Windows
CategoryDatabasesNetworking
Founded1999Unknown

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 Netdata

  • Per-second collection
  • Zero-configuration discovery
  • Edge machine learning
  • Tiered database engine
  • Streaming and replication
  • Health alarms

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

Netdata

  • Diagnosing a short-lived performance incident where one-minute averages hide the spike entirelynot Apache Pinot
  • Kubernetes clusters where per-series billing from a hosted vendor has become the largest observability costnot Apache Pinot
  • Adding dense host visibility to an estate that already has Prometheus for application metricsnot Apache Pinot
  • Small teams with no monitoring engineer who need working dashboards on the day of installationnot 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

Netdata

  • The dashboard interface is under a restrictive Netdata licence rather than GPL and is served from Netdata infrastructure by default, so the deployment is not fully self-contained without extra configuration.
  • Retention is limited by disk on each node unless you build and maintain a parent tier, which makes it a poor archive for year-over-year capacity planning.
  • Per-second collection consumes noticeable CPU and memory on small or heavily loaded nodes, and on constrained edge hardware the monitoring becomes part of the problem.
  • Default alerting is generous and fires on conditions many teams consider normal, so the first weeks involve pruning alarms rather than responding to them.
  • Fleet-level features that make it usable across hundreds of nodes sit in Netdata Cloud, so the free agent alone leaves you visiting individual node dashboards.

Pricing, plan by plan

Apache Pinot

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

Netdata

Free
  • Netdata AgentFree
    • GPLv3 agent with unlimited nodes
    • Per-second metrics and edge anomaly detection
    • Local dashboards and alerting
  • Netdata Cloud paid tiers$undefined/month
    • Per-node subscription for fleet management features
    • Role based access control and longer alert history
    • Business and enterprise support options

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.
Apache Pinot review

Choose Netdata if

  • You need per-second collection.
  • You want to start without paying.
  • You work on Linux, macOS, FreeBSD, Docker, Kubernetes, Windows.
  • You also want zero-configuration discovery.
Netdata review

Questions people ask

Is Apache Pinot or Netdata better?
Neither clearly leads. Apache Pinot starts at Free and Netdata at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Pinot or Netdata?
Apache Pinot starts at Free and Netdata at Free.
Does Apache Pinot or Netdata run on more platforms?
Apache Pinot runs on Linux, Docker, Kubernetes. Netdata runs on Linux, macOS, FreeBSD, Docker, Kubernetes, Windows.
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 Netdata is typically brought in for.
What can Apache Pinot do that Netdata cannot?
Apache Pinot covers Real-time Analytics, Column-oriented, Distributed Processing, SQL Support. Netdata covers Per-second collection, Zero-configuration discovery, Edge machine learning, Tiered database engine.

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
Netdata: Is Netdata fully open source?

The agent is GPLv3. The current dashboard interface is under a separate restrictive licence, so the complete product is open core rather than open 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
Netdata: Can it run without any connection to Netdata Cloud?

Yes, agents work standalone and dashboards can be served locally, but you lose fleet-wide views and need to configure local interface serving deliberately.

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
Netdata: Does it replace Prometheus?

For host and container infrastructure metrics it often does. For custom application metrics with an existing exporter ecosystem and long retention, most teams keep both.

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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