Plausible Analytics vs TelemetryDeck

Comparez Plausible Analytics et TelemetryDeck sur les capacités, la juridiction, les garanties et l'adéquation pour les acheteurs européens.

Tous deux listés comme alternatives à: Matomo

Plausible Analytics

Estonia· Web Analytics

Germany· Web Analytics

Les lignes surlignées diffèrent entre les deux produits.

Plausible Analytics vs TelemetryDeck: Aperçu
Caractéristique	Plausible Analytics	TelemetryDeck
Pays d'origine	Estonia	Germany
Catégorie	Web Analytics	Web Analytics
Open source	Oui	Non
Auto-hébergé	Oui	Non
Résumé	Estonian open-source, cookieless web analytics (AGPLv3): lightweight script, EU-owned hosting on Hetzner/UpCloud/Bunny, managed Cloud plus self-hosted Community Edition.	German privacy-first app analytics SaaS: lightweight multi-platform SDKs, on-device double-hash anonymization, cookieless signals, and managed dashboards for mobile, desktop, and web products.
Tags	analytics privacy cookieless gdpr saas web-analytics open-source self-hosted estonia google-analytics-alternative	analytics privacy cookieless gdpr saas app-analytics mobile-sdk germany free-tier

Suivi respectueux de la vie privée sans cookies
Aucune donnée personnelle ni cookie — données agrégées dans l'UE. Avantages : mesure souvent conforme au RGPD sans bannière de consentement, plus de confiance des visiteurs, risque d'amende réduit.
Script léger et rapide
Nettement plus petit que GA, tableau de bord en temps réel. Améliore SEO et vitesse, faible empreinte carbone — insights actionnables sans complexité.
Analyses avancées et intégrations
Objectifs, entonnoirs, revenus, segments ; connexion à GSC et WordPress. Analyse approfondie sans interface surchargée.

Ultra-Quick Setup and Broad Platform Support
Integration takes less than four minutes. Developers add an SDK line to their code—no servers to manage. Support spans iOS, macOS, visionOS, Android, React Native, Flutter, and web frameworks like JavaScript and Vue. This reduces barriers for cross-platform teams tracking usage across devices.
Custom Insights via Query Editor and TQL
A visual query editor pairs with TelemetryDeck Query Language for tailored reports. Users build dashboards for specific needs, beyond standard metrics. Pre-made views for DAU/MAU, crashes, and revenue provide immediate value, while custom queries reveal deeper patterns in user flows.
Privacy Through On-Device Anonymization
Double-hashing happens client-side, stripping identifiers before data leaves the device. No cookies, IP logging, or personal data storage. This sidesteps GDPR consent requirements, App Store labels, and similar rules under CCPA or PECR, simplifying compliance for global apps.
Advanced Analytics Tools
Funnels map user journeys, A/B tests compare variants, and retention charts track cohort engagement. Custom events capture unique actions, with automatic metadata like device models enriching signals. These help pinpoint drop-offs, optimize onboarding, and measure revenue impact.