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Technology · head to head

Canny vs etcd

Canny logo

Canny

Technology

Capture, organize, and analyze product feedback

From
Free
Rated
-
etcd logo

etcd

Technology

A distributed key-value store using Raft consensus, built for cluster coordination rather than application data.

From
On request
Rated
-

The short version

  • Only Canny has a free tier, so it costs nothing to try first.
  • 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; etcd it is sized for coordination data, not application data: the default backend quota is 2 GB and 8 GB is the documented recommended maximum, and exceeding it puts the cluster into a NOSPACE alarm where it accepts no writes until an operator compacts, defragments and clears the alarm by hand.
  • They diverge on capability: Canny covers Feedback boards, etcd covers Raft consensus.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Canny and etcd actually diverge.

Attributes where Canny and etcd differ
AttributeCannyetcd
Starting priceFreeOn request
Pricing modelsubscriptionopen-source
Free tierYesNo
PlatformsWeb, Claude AI (MCP)Web
Founded2015Unknown

Identical on both: 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 etcd

  • Raft consensus
  • Linearizable reads
  • Transactions
  • Leases
  • Watches
  • MVCC revision history
  • Role-based access control
  • Snapshot backup and restore

What people use each for

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

Canny

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

etcd

  • Storing Kubernetes cluster state, which is what the overwhelming majority of etcd deployments are doingnot Canny
  • Leader election and distributed locking in a home-grown scheduler or control plane, using leases and transactionsnot Canny
  • Service discovery and dynamic configuration where readers need to be notified of changes rather than poll for themnot Canny
  • Coordinating failover in a clustered database, as Patroni does for PostgreSQLnot 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

etcd

  • It is sized for coordination data, not application data: the default backend quota is 2 GB and 8 GB is the documented recommended maximum, and exceeding it puts the cluster into a NOSPACE alarm where it accepts no writes until an operator compacts, defragments and clears the alarm by hand.
  • Every write is replicated and fsynced before acknowledgement, so cluster performance is bounded by the slowest disk in it; a member on network-attached storage with high fsync latency causes leader elections and cluster-wide latency spikes that look like network problems and are not.
  • Adding members increases availability but reduces write throughput, because each write must reach a larger quorum; you run three or five members for fault tolerance, and increasing capacity means faster hardware rather than more nodes.
  • There is no sharding and no multi-tenancy, so isolating workloads means running separate clusters, each with its own quorum, certificates, backup schedule and upgrade path, and that operational multiplication is often unexpected.
  • Running it yourself is a real job: periodic compaction and defragmentation, snapshot backups you have actually rehearsed restoring, and rotation of both peer and client TLS certificates, none of which happens automatically outside a managed Kubernetes service.
  • Losing quorum is not self-healing; recovering a cluster that has lost a majority means restoring from a snapshot and accepting that everything written since that snapshot is gone, which makes backup frequency a data-loss budget decision rather than a routine setting.

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

etcd

On request

No published plan breakdown. See the etcd 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.

Choose etcd if

  • You need raft consensus.
  • You also want linearizable reads.

Questions people ask

Is Canny or etcd better?
Neither clearly leads. Canny starts at Free and etcd at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Canny or etcd?
Canny has a free tier; the other does not. Paid plans start at Free for Canny and On request for etcd.
Does Canny or etcd run on more platforms?
Canny runs on Web, Claude AI (MCP). etcd runs on Web.
Can I use Canny for free?
Yes. Canny has a free tier, so you can try it without paying. etcd starts at On request.
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 etcd is typically brought in for.
What can Canny do that etcd cannot?
Canny covers Feedback boards, Voting system, Roadmap planning, Changelog. etcd covers Raft consensus, Linearizable reads, Transactions, Leases.

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
etcd: Can I use etcd as an application database?

No. It is designed for metadata and coordination, with a recommended maximum store size of around 8 GB, no sharding and a write path deliberately optimised for durability rather than throughput. Application data belongs in a database built for it.

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
etcd: How many members should a cluster have?

Three for most cases, five where you need to survive two simultaneous failures. Always an odd number, because an even-sized cluster gains no additional fault tolerance while making quorum harder to reach.

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
etcd: What happens when the store fills up?

The cluster raises a NOSPACE alarm and stops accepting writes, becoming effectively read-only. Recovery requires compacting old revisions, defragmenting each member and then explicitly disarming the alarm, all done by an operator.

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
etcd: Why is my etcd cluster slow or unstable?

Almost always disk latency. Because every write is fsynced before acknowledgement, slow or shared storage causes heartbeat timeouts, leader elections and cascading latency. Local SSDs with low fsync latency are effectively a requirement.

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
etcd: How does it compare with Consul or ZooKeeper?

All three provide consensus-backed coordination. etcd has the simplest data model and the Kubernetes ecosystem behind it; Consul bundles service discovery, health checking and a service mesh; ZooKeeper is older, JVM-based and still common under Kafka and Hadoop-era systems.

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