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Databases · head to head

Apache Druid vs Canary Labs

Apache Druid logo

Apache Druid

Databases

Real-time analytics database for sub-second OLAP queries

From
Free
Rated
-
Canary Labs logo

Canary Labs

Databases

Industrial process historian with published per-tag pricing and no client licence fees

From
$3000/year
Rated
-

The short version

  • Only Apache Druid has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Druid open-source offering lacks high-availability, distributed architecture, and enterprise security features; Canary Labs pricing steps by tag band rather than actual tags, so a site sitting just above a threshold pays the next band in full; growth from 3,400 to 3,600 tags is a licence purchase, not a rounding error.
  • They diverge on capability: Apache Druid covers Real-time Ingestion, Canary Labs covers Loss-less compression.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Apache Druid and Canary Labs actually diverge.

Attributes where Apache Druid and Canary Labs differ
AttributeApache DruidCanary Labs
Starting priceFree$3000/year
Pricing modelopen-sourcePer tag band per year
Free tierYesNo
PlatformsDocker, Kubernetes, Native deployment (Java-based)Windows, Web
Founded1999Unknown

Identical on both: user rating (Not yet rated), category (Databases).

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 Canary Labs

  • Loss-less compression
  • Unlimited clients
  • Store and forward
  • Views service
  • Sparkplug B
  • Calculation engine
  • Axiom
  • ODBC and REST

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 Canary Labs
  • Applications requiring sub-second queries over high-cardinality datasets (billions to trillions of rows)not Canary Labs
  • Time-series and event analysis at massive scale with columnar storage efficiencynot Canary Labs

Canary Labs

  • A manufacturer that needs a compliant historian but cannot justify a PI System enterprise agreementnot Apache Druid
  • A water utility replacing SCADA-embedded logging with a historian that survives the next SCADA replacementnot Apache Druid
  • An Ignition site that wants long-term storage and trending without paying per-client for dashboardsnot Apache Druid
  • A plant with regulatory data-retention obligations where swinging-door compression would not survive an auditnot 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

Canary Labs

  • Pricing steps by tag band rather than actual tags, so a site sitting just above a threshold pays the next band in full; growth from 3,400 to 3,600 tags is a licence purchase, not a rounding error.
  • CustomerCare at 18 percent of licence cost is effectively mandatory on perpetual licences because lapsing it removes upgrades, so the perpetual option is not really a one-time cost.
  • The storage format is proprietary; getting data out at volume means the ODBC connector, an additional 2,500 USD one-time or 1,000 USD a year, or writing against the REST API.
  • Canary is a small vendor with a limited partner network outside North America, so support coverage and integrator availability in Europe and Asia are thinner than for AVEVA or Ignition.
  • It is a Windows-only server product with no Linux or container deployment, which complicates placing collectors in modern edge estates.

Pricing, plan by plan

Apache Druid

Free

No published plan breakdown. See the Apache Druid review.

Canary Labs

$3000/year
  • Subscription, 3,500 tags$3000/year
    • Unlimited Axiom clients
    • Unlimited Excel clients
    • Support and upgrades included
  • Perpetual, 3,500 tags$8730/one-time
    • 7,400 USD licence plus 1,330 USD first-year CustomerCare
    • CustomerCare renews at 18 percent of licence cost per year
    • Unlimited clients
  • Private cloud, 3,500 tags$12320/year
    • Hosted by Canary
    • 1,500 USD one-time setup fee per system
    • Scales to around 58,684 USD per year at 60,000 tags
  • Enterprise unlimited$undefined/year
    • Unlimited tags
    • Negotiated licensing terms
    • Quoted pricing

Which should you pick?

Choose Apache Druid if

  • You need real-time ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Native deployment (Java-based).
  • You also want sub-second queries.

Choose Canary Labs if

  • You need loss-less compression.
  • You work on Windows, Web.
  • You also want unlimited clients.

Questions people ask

Is Apache Druid or Canary Labs better?
Neither clearly leads. Apache Druid starts at Free and Canary Labs at $3000/year, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Druid or Canary Labs?
Apache Druid has a free tier; the other does not. Paid plans start at Free for Apache Druid and $3000/year for Canary Labs.
Does Apache Druid or Canary Labs run on more platforms?
Apache Druid runs on Docker, Kubernetes, Native deployment (Java-based). Canary Labs runs on Windows, Web.
Can I use Apache Druid for free?
Yes. Apache Druid has a free tier, so you can try it without paying. Canary Labs starts at $3000/year.
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 Canary Labs is typically brought in for.
What can Apache Druid do that Canary Labs cannot?
Apache Druid covers Real-time Ingestion, Sub-second Queries, Column-oriented Storage, Streaming Integration. Canary Labs covers Loss-less compression, Unlimited clients, Store and forward, Views service.

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
Canary Labs: What does Canary cost?

8,730 USD for a 3,500 tag perpetual system including first-year CustomerCare, or 3,000 USD a year on subscription.

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
Canary Labs: Are client licences extra?

No. Unlimited Axiom browser clients and unlimited Excel clients are included on every tier.

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
Canary Labs: Is perpetual cheaper than subscription?

Canary states perpetual pays off after roughly three years, and after that you still pay 18 percent CustomerCare annually.

Canary Labs: Does it use lossy compression?

No. Canary stores every collected value rather than approximating the trend, which matters for regulated data retention.

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