Plausible Analytics icon

Plausible Analytics

★★★★★ 4.6
VS

Rows

★★★★ 4.2
Feature Plausible Analytics Rows
Pricing From $9/mo Free / from $59/mo
Free Plan ✗ No ✓ Yes
Rating 4.6 / 5 4.2 / 5
Best For privacy-conscious-businesses, bloggers, developers, eu-businesses data-analysts, marketers, startups, growth-teams
Founded 2019 2016
Pageviews
Referrers
Goals
Custom Events
Utm Tracking
Api
Self Hosting
Integrations
Ai Assistant
Charts
Sharing
Templates
Api Connections

✓ 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

✓ Rows Pros

  • Built-in data integrations
  • Modern clean interface
  • Powerful AI features
  • Great for data analysis

✗ Rows Cons

  • Limited free plan
  • Smaller community
  • Some integrations require paid plan

The Verdict

Plausible Analytics is built for privacy conscious businesses and bloggers, with a focus on pageviews and referrers. Rows targets data analysts and marketers and leads with integrations and ai-assistant.

On pricing, Plausible Analytics is the clear winner for budget-conscious users — starting at $9/mo compared to $59/mo for Rows. That $50/mo difference adds up quickly for growing teams.

Rows 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.

Feature-wise, Plausible Analytics offers broader built-in capabilities (7 features vs 6), while Rows takes a more focused approach — which can mean a simpler, faster onboarding experience.

Bottom line: Plausible Analytics has a slight overall edge — but if built-in data integrations matters most to you, Rows may still be the right call.

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