Softwr

Technology · head to head

Canny vs Trino

Canny logo

Canny

Technology

Capture, organize, and analyze product feedback

From
Free
Rated
-
Full reviewWebsite
Trino logo

Trino

Technology

A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Canny tracked user pricing model causes costs to balloon as product grows and engagement increases, creating perverse incentive where more successful feedback gathering means higher costs; Trino trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve.
  • They diverge on capability: Canny covers Feedback boards, Trino covers Federated querying.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Canny and Trino actually diverge.

Attributes where Canny and Trino differ
AttributeCannyTrino
Pricing modelsubscriptionopen-source
PlatformsWeb, Claude AI (MCP)Web
Founded2015Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Technology).

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 Canny

  • Feedback boards
  • Voting system
  • Roadmap planning
  • Changelog
  • User segmentation
  • Status updates
  • Admin moderation
  • Analytics

Only in Trino

  • Federated querying
  • Connector architecture
  • Predicate and aggregation pushdown
  • Massively parallel execution
  • Fault-tolerant execution
  • Resource groups
  • Iceberg and Delta table support
  • Standard client protocols

What people use each for

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

Canny

  • Feature request managementnot Trino
  • Product roadmappingnot Trino
  • Customer feedback collectionnot Trino
  • Changelog communicationnot Trino
  • User engagementnot Trino

Trino

  • Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Canny
  • Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Canny
  • Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Canny
  • Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Canny

Where each one falls short

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

Canny

  • Tracked user pricing model causes costs to balloon as product grows and engagement increases, creating perverse incentive where more successful feedback gathering means higher costs
  • Limited integrations on Core plan; must upgrade to Pro to connect with Jira and Linear
  • Lacks built-in analytics for identifying themes and patterns across hundreds of feedback requests without manual tagging
  • Customizations limited for public-facing interfaces regarding branding and information presentation
  • Autopilot AI cannot be linked to product knowledge bases to better understand products and improve function
  • Slow response times reported by users, affecting feedback management efficiency
  • Limited custom user fields and manual data updates require API access

Trino

  • Trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve.
  • Federated queries pull data out of the systems they touch, so a join between a lake table and a production Postgres can put a full table scan onto an OLTP database that other applications depend on, and the person who wrote the query will not see the incident it causes.
  • Releases come roughly every one to two weeks with no community long-term support line, and deprecations arrive quickly, so you either dedicate someone to keeping current or you buy Starburst Enterprise for a supported long-term version.
  • It is memory-based and disk spilling was deprecated in favour of fault-tolerant execution, so a query exceeding cluster memory fails outright rather than degrading; enabling fault-tolerant execution requires an external exchange store on object storage and makes queries measurably slower.
  • It is a query engine and not a warehouse: there is no built-in job scheduling, no incremental materialised view maintenance and no transformation framework, so producing curated tables still needs dbt or an equivalent layer that somebody has to own.
  • The 2020 fork split the ecosystem, so documentation, connectors, Stack Overflow answers and vendor material written before then describe PrestoDB, which is now a different project with different behaviour, and following the wrong one wastes real time.

Pricing, plan by plan

Canny

Free
  • FreeFree
    • Up to 100 tracked users
    • Unlimited feedback
    • 1 board
  • Starter$400/month
    • 1,000 tracked users
    • Unlimited boards
    • Private boards
  • Growth$900/month
    • 5,000 tracked users
    • API access
    • SSO
  • Business$undefined/month
    • Unlimited tracked users
    • White label
    • SLA

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Canny if

  • You need feedback boards.
  • You want to start without paying.
  • You work on Web, Claude AI (MCP).
  • You also want voting system.
Canny review

Choose Trino if

  • You need federated querying.
  • You want to start without paying.
  • You also want connector architecture.
Trino review

Questions people ask

Is Canny or Trino better?
Neither clearly leads. Canny starts at Free and Trino at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Canny or Trino?
Canny starts at Free and Trino at Free.
Does Canny or Trino run on more platforms?
Canny runs on Web, Claude AI (MCP). Trino runs on Web.
Can I use Canny for free?
Both have a free tier, so you can try either at no cost before committing.
What is Canny best used for?
Canny is most often used for feature request management, product roadmapping, customer feedback collection, changelog communication. Of those, feature request management and product roadmapping are not what Trino is typically brought in for.
What can Canny do that Trino cannot?
Canny covers Feedback boards, Voting system, Roadmap planning, Changelog. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Canny: Does Canny offer a free plan?

Yes. Canny offers a free plan that allows collecting up to 100 feedback ideas. Free users get basic features without roadmap, changelog, or integrations.

Source
Trino: What is the difference between Trino and Presto?

They share an origin. The original creators left Meta and renamed their fork from PrestoSQL to Trino in December 2020; PrestoDB continues separately under the Linux Foundation. They have diverged in features, connectors and SQL behaviour, so material written for one may not apply to the other.

Canny: How is Canny priced?

Canny pricing scales based on tracked users. Core starts at $19/month (100 users, annual), Pro starts at $79/month (100 users, annual). Prices increase as tracked users grow.

Source
Trino: Does Trino replace my data warehouse?

Not on its own. It is compute without storage, scheduling or transformation. Paired with Iceberg or Delta on object storage and something like dbt for modelling it can serve as a lakehouse; used alone it is a query layer over what you already have.

Canny: What is a tracked user in Canny?

A tracked user is anyone who posts, votes, or comments on your Canny board or embedded widget. Each unique end user counts once and the count accumulates.

Source
Trino: Why is my federated query slow?

Usually because a connector could not push a filter or aggregation down, so Trino is pulling whole tables across the network to join them itself. The fix is usually better source-side partitioning or statistics, or ingesting that source rather than federating it.

Canny: What is Canny Autopilot?

Canny Autopilot is an AI feature that automatically captures feature requests from communication tools like Gong, Intercom, Slack, and Zendesk. It prioritizes requests by revenue impact.

Source
Trino: What happens when a query runs out of memory?

It fails. Disk spilling was deprecated in favour of fault-tolerant execution, which checkpoints to an external exchange store such as S3 and lets long queries survive memory pressure and worker loss, at the cost of noticeably slower execution.

Canny: Does Canny have a public roadmap feature?

Yes. Canny provides a public roadmap where customers can see what is planned, building, and shipped. Customers can vote on features and watch their feedback progress.

Source
Trino: Is there commercial support?

Yes, from Starburst, which offers Starburst Enterprise with long-term supported releases and Starburst Galaxy as a managed service. The open source project itself has no long-term support line.

Share

Related pages

More on Canny

More on Trino

Keep looking

Other head to heads