Matomo vs Plausible

Overview

Matomo

Stacks1.9K

Followers173

Votes6

Plausible

Stacks97

Followers60

Votes10

Matomo vs Plausible: What are the differences?

Pricing Model: Matomo offers both a free open-source version as well as a paid enterprise version, whereas Plausible only provides a paid version with different pricing tiers based on website traffic.
Data Ownership: Matomo allows users to have full control and ownership of their data as it can be self-hosted, while Plausible is a cloud-based service, meaning users rely on Plausible to store and process their data.
Customization: Matomo provides extensive customization options, allowing users to tailor their analytics platform to specific needs and preferences, whereas Plausible offers a simplified interface with limited customization possibilities.
Real-Time Analytics: Matomo offers real-time analytics, enabling users to monitor website traffic and visitor behavior instantly, while Plausible provides near real-time analytics with a delay of a few minutes for data processing.
Data Privacy: Matomo emphasizes data privacy, offering features such as anonymization, opt-out mechanisms, and user consent management to ensure compliance with regulations like GDPR, while Plausible also prioritizes privacy but with fewer customizable privacy settings.
Advanced Features: Matomo includes advanced features like funnels, heatmaps, A/B testing, and goal tracking, providing users with more in-depth insights and analysis options compared to Plausible, which focuses on simplicity and essential analytics features.

In Summary, Matomo and Plausible differ in terms of pricing, data ownership, customization, real-time analytics, data privacy, and availability of advanced features.

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CLI (Node.js)

Manual

Detailed Comparison

Matomo	Plausible
It is a web analytics platform designed to give you the conclusive insights with our complete range of features. You can also evaluate the full user-experience of your visitor’s behaviour with its Conversion Optimization features, including Heatmaps, Sessions Recordings, Funnels, Goals, Form Analytics and A/B Testing.	It is a lightweight and open-source website analytics tool. It doesn’t use cookies and is fully compliant with GDPR, CCPA and PECR.
Powerful Web Analytics Platform; GDPR Manager	Check website traffic and site analytics in 1 minute; Lightweight script which keeps your site speed fast; Doesn’t track nor collect any personal data; No cookie banners or GDPR/CCPA consent needed; Define key goals and track conversions; Get weekly or monthly reports directly into your inbox; Open your web analytics to everyone; Share the stats privately with your clients
Statistics
Stacks 1.9K	Stacks 97
Followers 173	Followers 60
Votes 6	Votes 10
Pros & Cons
Pros 1 Self-hosted 1 Full data control 1 Open Source 1 Free 1 Goals tracking	Pros 4 Lightweight (<1kB) 4 Privacy Oriented 2 Easy to implement
Integrations
MySQL React	No integrations available

What are some alternatives to Matomo, Plausible?

Google Analytics

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

Piwik

Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.

Clicky

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

Databricks

Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.

userTrack

userTrack is now called UXWizz. Get access to better insights, a faster dashboard and increase user privacy. It provides detailed visitor insights without relying on third-parties.

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Maze

Maze empowers product and marketing teams to test anything from prototypes to copy, or round up user feedback—all in one place. Rapidly collect user insights across teams and create better user experiences, together.

Ackee (Analytics)

Self-hosted, Node.js based analytics tool for those who care about privacy. Ackee runs on your own server, analyses the traffic of your websites and provides useful statistics in a minimal interface.

Volument

Volument is a new take on analytics: it focuses solely on conversion optimization and leaves out everything else. To be launched in 2020, it aims to change the way people measure and optimize their websites.

Related Comparisons

Matomo vs Plausible: What are the differences?

Pricing Model: Matomo offers both a free open-source version as well as a paid enterprise version, whereas Plausible only provides a paid version with different pricing tiers based on website traffic.
Data Ownership: Matomo allows users to have full control and ownership of their data as it can be self-hosted, while Plausible is a cloud-based service, meaning users rely on Plausible to store and process their data.
Customization: Matomo provides extensive customization options, allowing users to tailor their analytics platform to specific needs and preferences, whereas Plausible offers a simplified interface with limited customization possibilities.
Real-Time Analytics: Matomo offers real-time analytics, enabling users to monitor website traffic and visitor behavior instantly, while Plausible provides near real-time analytics with a delay of a few minutes for data processing.
Data Privacy: Matomo emphasizes data privacy, offering features such as anonymization, opt-out mechanisms, and user consent management to ensure compliance with regulations like GDPR, while Plausible also prioritizes privacy but with fewer customizable privacy settings.
Advanced Features: Matomo includes advanced features like funnels, heatmaps, A/B testing, and goal tracking, providing users with more in-depth insights and analysis options compared to Plausible, which focuses on simplicity and essential analytics features.

In Summary, Matomo and Plausible differ in terms of pricing, data ownership, customization, real-time analytics, data privacy, and availability of advanced features.

Matomo vs Plausible

Overview