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Databases · head to head

Apache Druid vs Helm

Apache Druid logo

Apache Druid

Databases

Real-time analytics database for sub-second OLAP queries

From
Free
Free plan
Yes
Visit Apache DruidFull review
H

Helm

Developer Tools

The package manager for Kubernetes

From
Free
Free plan
Yes
Visit HelmFull review

The short version

  • Apache Druid is a high performance, real-time analytics database; Helm is a Kubernetes package manager, licensed Apache 2.
  • Both are free.
  • Where Apache Druid falls short: open-source offering lacks high-availability, distributed architecture, and enterprise security features.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Apache Druid and Helm actually diverge.

Attributes where Apache Druid and Helm differ
AttributeApache DruidHelm
PlatformsSelf-hosted, APIWeb
CategoryDatabasesDeveloper Tools

Identical on both: starting price (Free), pricing model (Open-source), free tier (Yes).

Not yet recorded: founded for Helm.

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 Druid

  • Real-time Ingestion
  • Sub-second Queries
  • Column-oriented Storage
  • Streaming Integration
  • Approximate Algorithms
  • Flexible Schemas
  • Time-based Partitioning
  • Kafka

Only in Helm

Nothing recorded that Apache Druid does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Apache Druid

  • Real-time analytics platforms ingesting millions of events per second from streaming sourcesnot Helm
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Helm
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Helm

Helm

  • Kubernetes package manager and deployment toolnot Apache Druid

Where each one falls short

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

Apache Druid

  • Open-source offering lacks high-availability, distributed architecture, and enterprise security features
  • Requires native integration with Apache Kafka or Amazon Kinesis for real-time ingestion; custom integrations need development
  • High-concurrency query support (hundreds of thousands QPS) requires significant cluster infrastructure investment

Helm

  • Contributors must sign commits under the Developer Certificate of Origin to have them accepted, per helm.sh, a process requirement not all Kubernetes tools impose

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Helm

Free

No published plan breakdown. See the Helm review.

Which should you pick?

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Self-hosted, API.
  • You also want sub-second queries.
Apache Druid review

Choose Helm if

  • You want to start without paying.
Helm review

Questions people ask

Is Apache Druid or Helm better?
Neither clearly leads. Apache Druid starts at Free and Helm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or Helm?
Apache Druid starts at Free and Helm at Free.
Does Apache Druid or Helm run on more platforms?
Apache Druid runs on Self-hosted, API. Helm runs on Web.
Can I use Apache Druid for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Druid best used for?
Apache Druid is most often used for real-time analytics platforms ingesting millions of events per second from streaming sources, applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows), time-series and event analysis at massive scale with columnar storage efficiency. Of those, real-time analytics platforms ingesting millions of events per second from streaming sources and applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows) are not what Helm is typically brought in for.
What can Apache Druid do that Helm cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration.

Answered from the vendors’ own pages

Apache Druid: Is Apache Druid free to use?

Apache Druid is an open-source project with no licensing fees. It is licensed under CC BY-SA 4.0, and the Druid name and logo are trademarks of The Apache Software Foundation.

Source
Helm: How much does Helm cost?

Helm is free and open-source. It is a graduated project in the Cloud Native Computing Foundation (CNCF) with no commercial pricing model.

Source
Apache Druid: Can I use Apache Druid for commercial purposes?

Yes, Apache Druid is open-source software available for commercial use at no cost. The CC BY-SA 4.0 license permits commercial deployment.

Source
Apache Druid: Where do I find pricing for commercial support or services?

No pricing or support tiers are published on the Apache Druid homepage. For commercial support options, contact the Apache Druid community or consult additional resources beyond the project website.

Source
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