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Databases · head to head

Canary Labs vs RabbitMQ

Canary Labs logo

Canary Labs

Databases

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

From
$3000/year
Rated
-
RabbitMQ logo

RabbitMQ

Databases

Open-source message broker supporting AMQP and other protocols

From
Free
Rated
-

The short version

  • Only RabbitMQ has a free tier, so it costs nothing to try first.
  • Each has a real cost: 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.; RabbitMQ not built for replay: once consumed, a message is gone, which is exactly what Kafka exists to change
  • They diverge on capability: Canary Labs covers Loss-less compression, RabbitMQ covers Flexible routing.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Canary Labs and RabbitMQ actually diverge.

Attributes where Canary Labs and RabbitMQ differ
AttributeCanary LabsRabbitMQ
Starting price$3000/yearFree
Pricing modelPer tag band per yearOpen source, no licence fee; managed services billed separately
Free tierNoYes
PlatformsWindows, WebLinux, macOS, Windows, Docker, Kubernetes

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 Canary Labs

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

Only in RabbitMQ

  • Flexible routing
  • Multiple protocols
  • Management UI
  • Clustering and mirroring

What people use each for

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

Canary Labs

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

RabbitMQ

  • Distributing background jobs to a pool of workers with retriesnot Canary Labs
  • Decoupling services that need delivery rather than a replayable historynot Canary Labs
  • Routing messages by pattern to different consumers from one publishernot Canary Labs

Where each one falls short

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

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.

RabbitMQ

  • Not built for replay: once consumed, a message is gone, which is exactly what Kafka exists to change
  • Throughput ceilings are lower than a log-based platform under very heavy streaming loads
  • Queues that build up degrade broker performance, so consumer lag is an operational problem rather than just a backlog
  • Clustering and partition behaviour has historically been a source of hard-to-diagnose problems

Pricing, plan by plan

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

RabbitMQ

Free
  • RabbitMQFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose Canary Labs if

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

Choose RabbitMQ if

  • You need flexible routing.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want multiple protocols.

Questions people ask

Is Canary Labs or RabbitMQ better?
Neither clearly leads. Canary Labs starts at $3000/year and RabbitMQ at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Canary Labs or RabbitMQ?
RabbitMQ has a free tier; the other does not. Paid plans start at $3000/year for Canary Labs and Free for RabbitMQ.
Does Canary Labs or RabbitMQ run on more platforms?
Canary Labs runs on Windows, Web. RabbitMQ runs on Linux, macOS, Windows, Docker, Kubernetes.
Can I use RabbitMQ for free?
Yes. RabbitMQ has a free tier, so you can try it without paying. Canary Labs starts at $3000/year.
What is Canary Labs best used for?
Canary Labs is most often used for a manufacturer that needs a compliant historian but cannot justify a pi system enterprise agreement, a water utility replacing scada-embedded logging with a historian that survives the next scada replacement, an ignition site that wants long-term storage and trending without paying per-client for dashboards, a plant with regulatory data-retention obligations where swinging-door compression would not survive an audit. Of those, a manufacturer that needs a compliant historian but cannot justify a pi system enterprise agreement and a water utility replacing scada-embedded logging with a historian that survives the next scada replacement are not what RabbitMQ is typically brought in for.
What can Canary Labs do that RabbitMQ cannot?
Canary Labs covers Loss-less compression, Unlimited clients, Store and forward, Views service. RabbitMQ covers Flexible routing, Multiple protocols, Management UI, Clustering and mirroring.

Answered from the vendors’ own pages

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.

RabbitMQ: Is RabbitMQ free?

Yes, open source with no licence fee. Broadcom sells commercial support.

Canary Labs: Are client licences extra?

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

RabbitMQ: RabbitMQ or Kafka?

RabbitMQ is a message broker: simpler to run and better at flexible routing and work queues. Kafka is a replayable event log built for very high throughput streaming, and much heavier to operate.

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.

RabbitMQ: Can RabbitMQ replay messages?

Not in the way Kafka can. Messages are removed once acknowledged, so rebuilding state from history is not the model.

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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