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Clicky

1.1K
81
+ 1
26
Piwik

1.4K
504
+ 1
74
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Clicky vs Piwik: What are the differences?

What is Clicky? Real time web analytics. 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.

What is Piwik? The ultimate open source alternative to Google Analytics. Piwik is a full featured PHP MySQL software program that you download and install on your own webserver. Piwik aims to be a Free software alternative to Google Analytics, and is already used on more than 1,000,000 websites. Privacy is built-in!.

Clicky and Piwik can be primarily classified as "General Analytics" tools.

Some of the features offered by Clicky are:

  • Free version available
  • Detailed information about every person who visits your web site
  • Highly customizable tracking

On the other hand, Piwik provides the following key features:

  • Real time data updates
  • Customizable Dashboard
  • All Websites Dashboard

"Easy setup" is the primary reason why developers consider Clicky over the competitors, whereas "It's good to have an alternative to google analytics" was stated as the key factor in picking Piwik.

Piwik is an open source tool with 11.7K GitHub stars and 1.81K GitHub forks. Here's a link to Piwik's open source repository on GitHub.

Practo, Hazeorid, and KAYAK are some of the popular companies that use Piwik, whereas Clicky is used by Accenture, AskNicely, and AppNexus. Piwik has a broader approval, being mentioned in 816 company stacks & 103 developers stacks; compared to Clicky, which is listed in 176 company stacks and 11 developer stacks.

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Pros of Clicky
Pros of Piwik
  • 10
    Easy setup
  • 6
    Tons of detail
  • 5
    Cheap
  • 5
    Many features
  • 35
    It's good to have an alternative to google analytics
  • 27
    Self-hosted
  • 10
    Easy setup
  • 2
    Not blocked by Brave
  • 0
    Great customs

Sign up to add or upvote prosMake informed product decisions

Cons of Clicky
Cons of Piwik
    Be the first to leave a con
    • 2
      Hard to export data

    Sign up to add or upvote consMake informed product decisions

    - No public GitHub repository available -

    What is 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.

    What is 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.

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    What companies use Clicky?
    What companies use Piwik?
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    What tools integrate with Clicky?
    What tools integrate with Piwik?

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    What are some alternatives to Clicky and Piwik?
    KISSmetrics
    Optimize Your Business and Get More Customers. Identify, understand, and improve the metrics that drive your online business.
    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.
    Matomo
    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.
    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.
    See all alternatives