Software · head to head
Google Analytics vs Linear
The short version
- Each has a real cost: Google Analytics data retention limited to maximum 26 months on standard properties, with automatic deletion after retention period expires; Linear no task-level Gantt chart; Timeline view is available for projects only, not individual issues
- They diverge on capability: Google Analytics covers Real-time analytics, Linear covers Fast, real-time sync.
Where they differ
Only the attributes on which Google Analytics and Linear actually diverge.
| Attribute | Google Analytics | Linear |
|---|---|---|
| Pricing model | freemium | Unknown |
| Platforms | Web | Web, iOS, Android, macOS, Windows |
| Founded | 1998 | 2019 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Google Analytics
- Real-time analytics
- Audience insights
- Acquisition tracking
- Behavior flow
- Conversion tracking
- Custom reports
- Mobile analytics
- E-commerce tracking
Only in Linear
- Fast, real-time sync
- Keyboard-first design
- Automatic issue tracking
- Cycles (sprints)
- Projects & milestones
- Custom workflows
- API & webhooks
- Built-in roadmaps
Both cover
- SOC2
What people use each for
The jobs each tool is most often brought in to do.
Google Analytics
- Website and web application analyticsnot Linear
- Event tracking and user behaviour analysisnot Linear
- Traffic source and conversion trackingnot Linear
Linear
- Issue management and triage, converting customer feedback into prioritized issuesnot Google Analytics
- Strategic planning via initiatives, roadmaps, and PRDs from idea to launchnot Google Analytics
- Agent-assisted development, with agents drafting docs and submitting pull requestsnot Google Analytics
- Code review with structural diffs for human and agent outputnot Google Analytics
- Progress monitoring via dashboards tracking cycle times and project healthnot Google Analytics
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Google Analytics
- Data retention limited to maximum 26 months on standard properties, with automatic deletion after retention period expires
- Large and XL properties capped at 2-month data retention only
- Age, gender, and interest data always expire after 2 months regardless of retention settings
- Free tier does not include GA360 advanced features
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
Google Analytics
FreeNo published plan breakdown. See the Google Analytics review.
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 Google Analytics if
- You need real-time analytics.
- You want to start without paying.
- You also want audience insights.
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 Google Analytics or Linear better?
- Neither clearly leads. Google Analytics 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, Google Analytics or Linear?
- Google Analytics starts at Free and Linear at Free.
- Does Google Analytics or Linear run on more platforms?
- Google Analytics runs on Web. Linear runs on Web, iOS, Android, macOS, Windows.
- Can I use Google Analytics for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Google Analytics best used for?
- Google Analytics is most often used for website and web application analytics, event tracking and user behaviour analysis, traffic source and conversion tracking. Of those, website and web application analytics and event tracking and user behaviour analysis are not what Linear is typically brought in for.
- What can Google Analytics do that Linear cannot?
- Google Analytics covers Real-time analytics, Audience insights, Acquisition tracking, Behavior flow. Linear covers Fast, real-time sync, Keyboard-first design, Automatic issue tracking, Cycles (sprints). Both handle SOC2.
Related pages
More on Google Analytics
Keep looking
Other head to heads
- Google Analytics vs Crazy Egg
- Google Analytics vs Ruler Analytics
- Google Analytics vs Northbeam
- Google Analytics vs VWO
- Google Analytics vs Attribution
- Google Analytics vs Countly
- Google Analytics vs Dreamdata
- Google Analytics vs Triple Whale
- Google Analytics vs AB Tasty
- Google Analytics vs Adobe Analytics
- Google Analytics vs Adverity
- Google Analytics vs Convert
- Google Analytics vs Datorama
- Google Analytics vs Fathom Analytics
- Google Analytics vs Funnel.io
- Google Analytics vs Google Optimize
- Google Analytics vs Improvado
- Google Analytics vs June
- Google Analytics vs Asana
- Google Analytics vs ClickUp
- Google Analytics vs Figma
- Google Analytics vs Monday.com
- Google Analytics vs Greenhouse
- Google Analytics vs Notion
- Google Analytics vs Amplitude
- Google Analytics vs Datadog
- Google Analytics vs PostHog
- Google Analytics vs PyCharm
- Google Analytics vs Sketch
- Google Analytics vs Docker
- Google Analytics vs Netlify
- Google Analytics vs Okta
- Google Analytics vs Aha!
- Google Analytics vs Coda
- Google Analytics vs Dashlane
- Google Analytics vs GitHub
- Linear vs Crazy Egg
- Linear vs Ruler Analytics
- Linear vs Northbeam
- Linear vs VWO
- Linear vs Attribution
- Linear vs Countly
- Linear vs Dreamdata
- 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


