What can I use Log Analytics for?
Log Analytics can be applied to a number of business use cases:
Business Use Cases
Web hosting companies
Advantages of Log Analytics
Higher network security
Processing historical web log files
Greater tracking capabilities
What is a web server log file?
Features of Matomo Log Analytics
100% software and data ownership
Transforms gigabytes of server access logs into insightful analytics.
All Matomo features are automatically supported.
Protect visitor privacy with IP anonymisation.
EU Data Privacy law compliant.
Supports the DoNotTrack (DNT) function
Build custom plugins or reuse the extensive APIs
A delete-old-logs feature to keep database size under control.
Sarbanes-Oxley and PCI compliant.
Recognises most server log formats (Apache, Nginx, IIS, etc.)
Easily migrate from AWStats and Urchin by importing your historical logs into Matomo.
Automatically exclude bots (search engines, spam bots, etc.) from reports. There is an option to track bots and assign them a custom variable to differentiate them from human visitors.
Parsing logs with Matomo Log Analytics
To use Log Analytics, you need the latest version of Matomo, Python and your server’s access logs to import into Matomo (Piwik). Full documentation can be found in the user guide: How to run the Log Analytics tool.
Log Analytics FAQ & User Guide
Feedback: your feature requests
Feel free to create a new ticket in our issue tracker to request a new feature. You can find the list of all opened Log Analytics tickets here. If you are a Python developer, check out the source code and consider submitting a pull request. We really appreciate if you can suggest improvements and report bugs.