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Databases · head to head

Canary Labs vs DuckDB

Canary Labs logo

Canary Labs

Databases

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

From
$3000/year
Rated
-
Full reviewWebsite
DuckDB logo

DuckDB

Databases

MIT-licensed analytical SQL database that runs inside your process, with no server, no dependencies and one writer at a time.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only DuckDB 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.; DuckDB a database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • They diverge on capability: Canary Labs covers Loss-less compression, DuckDB covers In-process execution.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Canary Labs and DuckDB differ
AttributeCanary LabsDuckDB
Starting price$3000/yearFree
Pricing modelPer tag band per yearopen-source
Free tierNoYes
PlatformsWindows, WebLinux, macOS, Windows, WebAssembly
FoundedUnknown2019

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 DuckDB

  • In-process execution
  • Vectorised columnar engine
  • Direct file querying
  • Zero dependencies
  • Larger-than-memory queries
  • MIT licence
  • Postgres-flavoured SQL
  • Extension ecosystem

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

DuckDB

  • Transformation steps in a data pipeline that would otherwise need Spark, replaced by SQL over Parquet in a single processnot Canary Labs
  • Analytical queries embedded in an application or a dashboard where shipping a database server alongside it is not acceptablenot Canary Labs
  • Local exploration of files that are too large for a pandas dataframe but far too small to justify a warehousenot Canary Labs
  • Continuous integration and testing of analytical SQL, where a real engine can run in the test process without provisioning anythingnot 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.

DuckDB

  • A database file accepts one read-write process at a time; other processes must open it read-only and will not see subsequent writes, so DuckDB cannot be the shared database behind several services.
  • There is no network protocol, authentication or user management, so exposing it to remote clients means writing and securing your own service around it.
  • It is built for scans and aggregations, not for many small transactions, so a workload of high-frequency single-row inserts and updates performs badly compared with SQLite or Postgres.
  • Storage files are backwards compatible but not forwards compatible, so a file written by a newer version cannot be read by an older one and every consumer of a shared file must be upgraded together.
  • Query memory settings matter: some operations still need to hold significant state, so an under-configured memory limit turns a large join or a high-cardinality aggregation into a spill-heavy query or an out-of-memory failure rather than a slow success.

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

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Which should you pick?

Choose Canary Labs if

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

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want vectorised columnar engine.
DuckDB review

Questions people ask

Is Canary Labs or DuckDB better?
Neither clearly leads. Canary Labs starts at $3000/year and DuckDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Canary Labs or DuckDB?
DuckDB has a free tier; the other does not. Paid plans start at $3000/year for Canary Labs and Free for DuckDB.
Does Canary Labs or DuckDB run on more platforms?
Canary Labs runs on Windows, Web. DuckDB runs on Linux, macOS, Windows, WebAssembly.
Can I use DuckDB for free?
Yes. DuckDB 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 DuckDB is typically brought in for.
What can Canary Labs do that DuckDB cannot?
Canary Labs covers Loss-less compression, Unlimited clients, Store and forward, Views service. DuckDB covers In-process execution, Vectorised columnar engine, Direct file querying, Zero dependencies.

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.

DuckDB: Can multiple applications share one DuckDB database?

Not for writing. One process holds the database read-write; others may attach read-only and will not see later writes. Shared multi-writer access needs a different database or a table format with a catalogue.

Canary Labs: Are client licences extra?

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

DuckDB: Is it a replacement for a data warehouse?

For single-node analytical workloads up to a few hundred gigabytes it very often is. It is not a replacement when many concurrent users need a shared, governed, always-on service.

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.

DuckDB: Do I have to load data into it?

No. It queries Parquet, CSV, JSON and Arrow in place, including on object storage. Its own storage format is optional and mainly useful when you want indexes, constraints and faster repeated access.

Canary Labs: Does it use lossy compression?

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

DuckDB: What is MotherDuck's relationship to it?

MotherDuck is a separate company offering a managed and hybrid service built on the DuckDB engine. DuckDB itself remains MIT-licensed and independent of it, with the IP held by the DuckDB Foundation.

DuckDB: Is it suitable for OLTP?

No. It is designed for analytical scans. For transactional workloads with frequent small writes, SQLite or Postgres is the right tool.

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