Marketing & Analytics · head to head
Countly vs Linear
The short version
- Each has a real cost: Countly the private cloud plan starts at $175 a month and is described as usage based without stating the unit; Linear no task-level Gantt chart; Timeline view is available for projects only, not individual issues
- They diverge on capability: Countly covers Event tracking, Linear covers Fast, real-time sync.
Where they differ
Only the attributes on which Countly and Linear actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Countly
- Event tracking
- Crash reporting
- Analytics dashboard
- User retention
- Open-source
- Cloud deployment
- On-premise deployment
- Web support
Only in Linear
- Fast, real-time sync
- Keyboard-first design
- Automatic issue tracking
- Cycles (sprints)
- Projects & milestones
- Custom workflows
- API & webhooks
- Built-in roadmaps
What people use each for
The jobs each tool is most often brought in to do.
Countly
- Product analytics for mobile and web applicationsnot Linear
- Self hosting analytics where data cannot leave the organisationnot Linear
Linear
- Issue management and triage, converting customer feedback into prioritized issuesnot Countly
- Strategic planning via initiatives, roadmaps, and PRDs from idea to launchnot Countly
- Agent-assisted development, with agents drafting docs and submitting pull requestsnot Countly
- Code review with structural diffs for human and agent outputnot Countly
- Progress monitoring via dashboards tracking cycle times and project healthnot Countly
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Countly
- The private cloud plan starts at $175 a month and is described as usage based without stating the unit
- No event cap, data point limit or user limit is published for either paid plan
- The self hosted Enterprise edition is custom priced and billed annually
- Adaptivity and intelligence features are separately priced add ons on the cheaper plan
Linear
- No task-level Gantt chart; Timeline view is available for projects only, not individual issues
- No native time-tracking or hour-logging feature
- No native Linux desktop app; official FAQ states it 'may come in the future but it's not on the roadmap for now'
- Free tier capped at 250 issues and 2 teams
Pricing, plan by plan
Countly
Free- Open SourceFree
- Open-source
- Self-hosted
- Full features
Linear
Free- FreeFree
- Unlimited members
- 2 teams
- 250 issues
- Basic$10/month
- 5 teams
- Unlimited issues
- Unlimited file uploads
- Business$16/month
- Unlimited teams
- Private teams/guests
- Triage Intelligence
- Enterprise$undefined/month
- SAML/SCIM
- Granular admin controls
- Invoice/PO billing
Which should you pick?
Choose Countly if
- You need event tracking.
- You want to start without paying.
- You work on Web, Mobile, Api.
- You also want crash reporting.
Choose Linear if
- You need fast, real-time sync.
- You want to start without paying.
- You work on Web, iOS, Android, macOS, Windows.
- You also want keyboard-first design.
Questions people ask
- Is Countly or Linear better?
- Neither clearly leads. Countly starts at Free and Linear at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Countly or Linear?
- Countly starts at Free and Linear at Free.
- Does Countly or Linear run on more platforms?
- Countly runs on Web, Mobile, Api. Linear runs on Web, iOS, Android, macOS, Windows.
- Can I use Countly for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Countly best used for?
- Countly is most often used for product analytics for mobile and web applications, self hosting analytics where data cannot leave the organisation. Of those, product analytics for mobile and web applications and self hosting analytics where data cannot leave the organisation are not what Linear is typically brought in for.
- What can Countly do that Linear cannot?
- Countly covers Event tracking, Crash reporting, Analytics dashboard, User retention. Linear covers Fast, real-time sync, Keyboard-first design, Automatic issue tracking, Cycles (sprints).
Related pages
Other head to heads
- Countly vs Crazy Egg
- Countly vs Ruler Analytics
- Countly vs Northbeam
- Countly vs VWO
- Countly vs Attribution
- Countly vs Dreamdata
- Countly vs Google Analytics
- Countly vs Triple Whale
- Countly vs AB Tasty
- Countly vs Adobe Analytics
- Countly vs Adverity
- Countly vs Convert
- Countly vs Datorama
- Countly vs Fathom Analytics
- Countly vs Funnel.io
- Countly vs Google Optimize
- Countly vs Improvado
- Countly vs June
- Countly vs Asana
- Countly vs ClickUp
- Countly vs Figma
- Countly vs Monday.com
- Countly vs Greenhouse
- Countly vs Notion
- Countly vs Amplitude
- Countly vs Datadog
- Countly vs PostHog
- Countly vs PyCharm
- Countly vs Sketch
- Countly vs Docker
- Countly vs Netlify
- Countly vs Okta
- Countly vs Aha!
- Countly vs Coda
- Countly vs Dashlane
- Countly vs GitHub
- Linear vs Crazy Egg
- Linear vs Ruler Analytics
- Linear vs Northbeam
- Linear vs VWO
- Linear vs Attribution
- Linear vs Dreamdata
- Linear vs Google Analytics
- Linear vs Triple Whale
- Linear vs AB Tasty
- Linear vs Adobe Analytics
- Linear vs Adverity
- Linear vs Convert
- Linear vs Datorama
- Linear vs Fathom Analytics
- Linear vs Funnel.io
- Linear vs Google Optimize
- Linear vs Improvado
- Linear vs June
- Linear vs Asana
- Linear vs ClickUp
- Linear vs Figma
- Linear vs Monday.com
- Linear vs Greenhouse
- Linear vs Notion
- Linear vs Amplitude
- Linear vs Datadog
- Linear vs PostHog
- Linear vs PyCharm
- Linear vs Sketch
- Linear vs Docker
- Linear vs Netlify
- Linear vs Okta
- Linear vs Aha!
- Linear vs Coda
- Linear vs Dashlane
- Linear vs GitHub


