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Databases · head to head

Canary Labs vs QuestDB

Canary Labs logo

Canary Labs

Databases

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

From
$3000/year
Rated
-
QuestDB logo

QuestDB

Databases

Fast open source time-series database for high throughput ingestion

From
Free
Rated
-

The short version

  • Only QuestDB 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.; QuestDB open-source edition lacks high-availability, distributed architecture, and enterprise security features
  • They diverge on capability: Canary Labs covers Loss-less compression, QuestDB covers High Throughput Ingestion.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Canary Labs and QuestDB differ
AttributeCanary LabsQuestDB
Starting price$3000/yearFree
Pricing modelPer tag band per yearopen-source
Free tierNoYes
PlatformsWindows, WebDocker, Kubernetes, Cloud (AWS, Azure, GCP)
FoundedUnknown2014

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 QuestDB

  • High Throughput Ingestion
  • SQL Support
  • Time-series Optimization
  • SIMD Vectorization
  • Column-oriented Storage
  • Built-in Web Console
  • InfluxDB Line Protocol
  • PostgreSQL

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 QuestDB
  • A water utility replacing SCADA-embedded logging with a historian that survives the next SCADA replacementnot QuestDB
  • An Ignition site that wants long-term storage and trending without paying per-client for dashboardsnot QuestDB
  • A plant with regulatory data-retention obligations where swinging-door compression would not survive an auditnot QuestDB

QuestDB

  • Time-series analytics ingesting up to 20M rows/second from IoT sensors or financial data feedsnot Canary Labs
  • Real-time dashboarding with 32ms time-to-first-row latency for minute-level analyticsnot Canary Labs
  • Applications requiring multi-tier storage (hot ingest, real-time SQL, cold Parquet archive)not 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.

QuestDB

  • Open-source edition lacks high-availability, distributed architecture, and enterprise security features
  • Enterprise edition pricing not published; requires contacting sales for custom quote
  • Ingestion limit of 20M rows/sec platform-dependent; may not scale to extreme throughput requirements

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

QuestDB

Free

No published plan breakdown. See the QuestDB review.

Which should you pick?

Choose Canary Labs if

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

Choose QuestDB if

  • You need high throughput ingestion.
  • You want to start without paying.
  • You work on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
  • You also want sql support.

Questions people ask

Is Canary Labs or QuestDB better?
Neither clearly leads. Canary Labs starts at $3000/year and QuestDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Canary Labs or QuestDB?
QuestDB has a free tier; the other does not. Paid plans start at $3000/year for Canary Labs and Free for QuestDB.
Does Canary Labs or QuestDB run on more platforms?
Canary Labs runs on Windows, Web. QuestDB runs on Docker, Kubernetes, Cloud (AWS, Azure, GCP).
Can I use QuestDB for free?
Yes. QuestDB 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 QuestDB is typically brought in for.
What can Canary Labs do that QuestDB cannot?
Canary Labs covers Loss-less compression, Unlimited clients, Store and forward, Views service. QuestDB covers High Throughput Ingestion, SQL Support, Time-series Optimization, SIMD Vectorization.

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.

QuestDB: How much does QuestDB Enterprise cost?

QuestDB does not publish specific pricing for the Enterprise tier. Customers must contact QuestDB via their enterprise contact form to receive a custom quote.

Source
Canary Labs: Are client licences extra?

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

QuestDB: Does QuestDB offer a free version?

Yes, QuestDB Open Source is completely free and recommended for evaluation, prototyping, and pilot projects. Enterprise features, high availability, security, and dedicated support require the paid Enterprise tier.

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.

QuestDB: What deployment options does QuestDB offer?

QuestDB offers open source deployment, Enterprise deployment, and Bring Your Own Cloud (BYOC) deployment. Pricing details for BYOC and Enterprise tiers are not published and require direct contact with sales.

Source
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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