Plausible Analytics vs TelemetryDeck

Vergelijk Plausible Analytics en TelemetryDeck op mogelijkheden, rechtsgebied, waarborgen en geschiktheid voor Europese kopers.

Beide vermeld als alternatief voor: Matomo

Plausible Analytics

Estonia· Web Analytics

Germany· Web Analytics

Gemarkeerde rijen verschillen tussen de twee producten.

Plausible Analytics vs TelemetryDeck: Overzicht
Kenmerk	Plausible Analytics	TelemetryDeck
Land van herkomst	Estonia	Germany
Categorie	Web Analytics	Web Analytics
Open source	Ja	Nee
Self-hosted	Ja	Nee
Samenvatting	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

Cookievrij privacy-tracking
Geen PII/cookies — geaggregeerde EU-data. Voordelen: direct AVG-conform zonder consent, bezoekersvertrouwen, geen boetes.
Lichtgewicht, snel script
75× kleiner dan GA, realtime dashboard. Verbetert SEO/snelheid, lage CO₂-voetafdruk — bruikbare inzichten eenvoudig.
Geavanceerde inzichten en integraties
Doelen/funnels/omzet/segmenten; GSC/WordPress. Diepe analyse zonder complexiteit.

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.