Marketing & Analytics · head to head
Countly vs Hive
The short version
- Only Countly has a free tier, so it costs nothing to try first.
- 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; Hive the free plan is capped at 200 MB of storage
- They diverge on capability: Countly covers Event tracking, Hive covers Tasks.
Where they differ
Only the attributes on which Countly and Hive actually diverge.
Identical on both: pricing model (freemium), 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
- Mobile support
Only in Hive
- Tasks
- Gantt view
- Kanban
- Time tracking
- Forms
- Slack
- Zoom
- Google Drive
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Countly
- Product analytics for mobile and web applicationsnot Hive
- Self hosting analytics where data cannot leave the organisationnot Hive
Hive
- Project and task management with multiple project viewsnot Countly
- Coordinating work, proofing and resourcing for teamsnot 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
Hive
- The free plan is capped at 200 MB of storage
- The Starter plan at $5 per user per month is limited to 10 projects
- Eight capabilities are sold as $5 per user add ons on the Teams plan, including CRM, timesheets, proofing, resourcing, advanced dashboards, external users and SSO
- Buying SSO plus a few of those add ons therefore costs more than the $12 base seat itself
- AI credits are metered monthly at 1,000, 3,000 and 5,000 by plan
Pricing, plan by plan
Countly
Free- Open SourceFree
- Open-source
- Self-hosted
- Full features
Hive
On request- FreeFree
- Basic features
- 10 users
- Teams$12/month
- Unlimited users
- Time tracking
- Automations
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 Hive if
- You need tasks.
- You work on Web, Ios, Android, Desktop.
- You also want gantt view.
Questions people ask
- Is Countly or Hive better?
- Neither clearly leads. Countly starts at Free and Hive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Countly or Hive?
- Countly has a free tier; the other does not. Paid plans start at Free for Countly and On request for Hive.
- Does Countly or Hive run on more platforms?
- Countly runs on Web, Mobile, Api. Hive runs on Web, Ios, Android, Desktop.
- Can I use Countly for free?
- Yes. Countly has a free tier, so you can try it without paying. Hive starts at On request.
- 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 Hive is typically brought in for.
- What can Countly do that Hive cannot?
- Countly covers Event tracking, Crash reporting, Analytics dashboard, User retention. Hive covers Tasks, Gantt view, Kanban, Time tracking. Both handle Web support.
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 Basecamp
- Countly vs Clockwise
- Countly vs Reclaim.ai
- Countly vs Trello
- Countly vs Roadmunk
- Countly vs Toggl Plan
- Countly vs GanttPRO
- Countly vs MeisterTask
- Countly vs Sunsama
- Countly vs Craft Docs
- Countly vs Freedcamp
- Countly vs Kanbanize
- Countly vs LiquidPlanner
- Countly vs Nifty
- Countly vs Paymo
- Countly vs Pipefy
- Countly vs Podio
- Countly vs ProofHub
- Hive vs Crazy Egg
- Hive vs Ruler Analytics
- Hive vs Northbeam
- Hive vs VWO
- Hive vs Attribution
- Hive vs Dreamdata
- Hive vs Google Analytics
- Hive vs Triple Whale
- Hive vs AB Tasty
- Hive vs Adobe Analytics
- Hive vs Adverity
- Hive vs Convert
- Hive vs Datorama
- Hive vs Fathom Analytics
- Hive vs Funnel.io
- Hive vs Google Optimize
- Hive vs Improvado
- Hive vs June
- Hive vs Basecamp
- Hive vs Clockwise
- Hive vs Reclaim.ai
- Hive vs Trello
- Hive vs Roadmunk
- Hive vs Toggl Plan
- Hive vs GanttPRO
- Hive vs MeisterTask
- Hive vs Sunsama
- Hive vs Craft Docs
- Hive vs Freedcamp
- Hive vs Kanbanize
- Hive vs LiquidPlanner
- Hive vs Nifty
- Hive vs Paymo
- Hive vs Pipefy
- Hive vs Podio
- Hive vs ProofHub


