LinearB icon

LinearB

★★★★ 4.2
VS
Plausible Analytics icon

Plausible Analytics

★★★★★ 4.6
Feature LinearB Plausible Analytics
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.

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