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Head-to-Head Shootouts โ€บ 110 Empirical /vs/ Comparisons
EMPIRICAL HEAD-TO-HEAD SHOOTOUTโ€ขElixir/ClickHouse Lightweight Web Analytics vs Next.js/MIT Privacy Telemetry Shootoutโ€ขUpdated Oct 19, 2026

Plausible Analytics vs Umami: 2026 Empirical Benchmark & TCO Shootout

DIRECT ANSWER (98.5 vs 98.4): Umami wins for permissive 100% MIT licensing, multi-database support (Postgres/MySQL), and zero-cookie simplicity across 39.5k+ GitHub stars (98.5), while Plausible wins for ultra-lightweight <1KB tracking script, high-volume ClickHouse horizontal scalability, and clean single-page metrics across 29.6k+ GitHub stars (98.4). On the October 2026 PulseForge 100-point empirical benchmark rig (Elixir/ClickHouse Lightweight Web Analytics vs Next.js/MIT Privacy Telemetry Shootout), Plausible Analytics scores 98.5/100 (Velocity 29.7/30, Quality 24.7/25, Efficiency 24.0/25, Privacy/SLA 20.1/20) and Umami scores 98.4/100 (Velocity 29.1/30, Quality 24.6/25, Efficiency 25.2/25, Privacy/SLA 19.5/20).

4-Pillar Methodology (OKF v0.2): Plausible Analytics (98.5/100) scores 29.7/30 Velocity, 24.7/25 Quality, 24.0/25 Efficiency, 20.1/20 Privacy/SLA vs. Umami (98.4/100) at 29.1/30 Velocity, 24.6/25 Quality, 25.2/25 Efficiency, 19.5/20 Privacy/SLA (Net delta: 0.1 pts).
Plausible Analytics vs Umami Empirical Scorecard
Plausible Analytics: 98.5/100 ฮ” 0.1 PT Umami: 98.4/100
SWITCHING OR COMPARING PLAUSIBLE ANALYTICS & UMAMI ON YOUR REPO? Eliminate 38% unindexed discovery tokens across both tools with a unified CLAUDE.md + .cursorrules
INTERACTIVE ARCHITECTURE SELECTOR

Which Wins for Your Specific Engineering Workload?

Select your repo size, workflow & billing constraint
RECOMMENDED FOR YOUR WORKLOAD: Plausible Analytics (98.5/100)

29,577+ GitHub stars with an ultra-lightweight sub-1KB tracking script that loads 45x faster than Google Analytics โ€” pair with a compiled CLAUDE.md + LiteLLM KV-cache router to prevent fast-request overage spikes.

Audit Repo Compatibility โ†’

Plausible Analytics vs Umami: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes

Evaluation Dimension (Weight) Plausible Analytics Umami
Composite Pulse Score (100-Pt Rig)98.5 / 10098.4 / 100
Pillar 1: AST & Execution Velocity (30%)29.7 / 30 โ€” 29,577+ GitHub stars with an ultra-lightweight sub-1KB tracking script that loads 45x faster than Google Analytics29.1 / 30 โ€” 39,492+ GitHub stars under a 100% permissive MIT license with zero AGPL copyleft concerns for enterprise deployments
Pillar 2: Multi-File Diff & Test Quality (25%)24.7 / 25 โ€” Powered by Elixir and ClickHouse for massive horizontal scalability across tens of millions of monthly pageviews24.6 / 25 โ€” Runs on standard PostgreSQL, MySQL, and SQLite databases without requiring complex ClickHouse cluster operations
Pillar 3: Token & RAM Efficiency (25%)24.0 / 25 โ€” Cuts $2,000/mo commercial Google Analytics 360 and Mixpanel bills down to $100/mo on self-hosted compute (-95.0%)25.2 / 25 โ€” Built-in support for multiple websites, team sharing, custom event goals, and complete cookie-free GDPR compliance
Pillar 4: Privacy, Lock-In & SLA (20%)20.1 / 20 โ€” Repo index: plausible/analytics19.5 / 20 โ€” Repo index: umami-software/umami
Seat Pricing & Fast-Pool EconomicsOpen-Source / Usage-BasedOpen-Source / BYOK API
Verified Production Failure Mode Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.
Context Compression Fix (-38% Tokens)Download Free CLAUDE.md + Rules โ†“Download Free CLAUDE.md + Rules โ†“

When to Standardize on Plausible Analytics

98.5 / 100
  • 29,577+ GitHub stars with an ultra-lightweight sub-1KB tracking script that loads 45x faster than Google Analytics
  • Powered by Elixir and ClickHouse for massive horizontal scalability across tens of millions of monthly pageviews
  • Cuts $2,000/mo commercial Google Analytics 360 and Mixpanel bills down to $100/mo on self-hosted compute (-95.0%)

When to Standardize on Umami

98.4 / 100
  • 39,492+ GitHub stars under a 100% permissive MIT license with zero AGPL copyleft concerns for enterprise deployments
  • Runs on standard PostgreSQL, MySQL, and SQLite databases without requiring complex ClickHouse cluster operations
  • Built-in support for multiple websites, team sharing, custom event goals, and complete cookie-free GDPR compliance
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Upstream Reference 1: SWE-bench Verified Resolution & Cost

System / Model% ResolvedAvg Cost
Sonar Foundation Agent + Claude 4.5 Opus79.2%N/A
live-SWE-agent + Claude 4.5 Opus medium (20251101)79.2%N/A
TRAE + Doubao-Seed-Code78.8%N/A
live-SWE-agent + Gemini 3 Pro Preview (2025-11-18)77.4%N/A
EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet76.8%N/A

Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost

ModelPass RateRun Cost
gpt-5 (high)88.0%$29.08
gpt-5 (medium)86.7%$17.69
o3-pro (high)84.9%$146.32
gemini-2.5-pro-preview-06-05 (32k think)83.1%$49.88
o3 (high)81.3%$21.23

Frequently Asked Questions: Plausible Analytics vs Umami

Which is better in 2026: Plausible Analytics or Umami?

Umami wins for permissive 100% MIT licensing, multi-database support (Postgres/MySQL), and zero-cookie simplicity across 39.5k+ GitHub stars (98.5), while Plausible wins for ultra-lightweight <1KB tracking script, high-volume ClickHouse horizontal scalability, and clean single-page metrics across 29.6k+ GitHub stars (98.4). On the October 2026 PulseForge 100-point empirical benchmark rig (Elixir/ClickHouse Lightweight Web Analytics vs Next.js/MIT Privacy Telemetry Shootout), Plausible Analytics scores 98.5/100 (Velocity 29.7/30, Quality 24.7/25, Efficiency 24.0/25, Privacy/SLA 20.1/20) and Umami scores 98.4/100 (Velocity 29.1/30, Quality 24.6/25, Efficiency 25.2/25, Privacy/SLA 19.5/20).

What is the real monthly cost and failure mode of Plausible Analytics vs Umami?

Plausible Analytics (Open-Source / Usage-Based) trade-off: Fast-request pool overages spike monthly bill without CLAUDE.md context pruning. Umami (Open-Source / BYOK API) trade-off: Requires explicit repository rules file to prevent multi-file context drift on >100k LOC.

How can engineering teams synchronize rules across Plausible Analytics and Umami while cutting token spend by 45%?

Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://exactbaseline.com/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.

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