LinearB
Plausible Analytics
| Feature | ||
|---|---|---|
| Pricing | Free / from $39/mo | From $9/mo |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.2 / 5 | 4.6 / 5 |
| Best For | engineering-managers, vp-engineering, ctos, devops-teams | privacy-conscious-businesses, bloggers, developers, eu-businesses |
| Founded | 2019 | 2019 |
| Cycle Time Metrics | ✓ | ✗ |
| Dora Metrics | ✓ | ✗ |
| Pr Insights | ✓ | ✗ |
| Workflow Automation | ✓ | ✗ |
| Team Benchmarks | ✓ | ✗ |
| Planning Intelligence | ✓ | ✗ |
| Investment Profile | ✓ | ✗ |
| Pageviews | ✗ | ✓ |
| Referrers | ✗ | ✓ |
| Goals | ✗ | ✓ |
| Custom Events | ✗ | ✓ |
| Utm Tracking | ✗ | ✓ |
| Api | ✗ | ✓ |
| Self Hosting | ✗ | ✓ |
✓ LinearB Pros
- Correlates engineering metrics with business outcomes
- Automated workflow improvements (WorkerB)
- Benchmarks against industry standards
- Identifies bottlenecks in dev process
✗ LinearB Cons
- Expensive for large engineering teams
- Can feel like surveillance to developers
- Metrics can be gamed if not used carefully
✓ Plausible Analytics Pros
- No cookies — GDPR compliant without consent banner
- Script is under 1KB (vs GA's 45KB)
- Open-source and transparent
- Simple dashboard — no overwhelming data
✗ Plausible Analytics Cons
- Less detailed than Google Analytics
- No free tier (but affordable)
- Limited segmentation and custom reports
The Verdict
LinearB is built for engineering managers and vp engineering, with a focus on cycle-time-metrics and dora-metrics. Plausible Analytics targets privacy conscious businesses and bloggers and leads with pageviews and referrers.
On pricing, Plausible Analytics is the clear winner for budget-conscious users — starting at $9/mo compared to $39/mo for LinearB. That $30/mo difference adds up quickly for growing teams.
LinearB has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Plausible Analytics requires a paid subscription from day one.
Plausible Analytics edges out on user ratings (4.6 vs 4.2). While both are well-regarded, that gap reflects real differences in user satisfaction worth considering.
Bottom line: Plausible Analytics has a slight overall edge — but if correlates engineering metrics with business outcomes matters most to you, LinearB may still be the right call.