Plausible Analytics Leverages ClickHouse for Privacy-Friendly Web Analytics
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Electrical Grids
- Equipment & Machinery
About The Customer
Plausible Analytics is an open-source web analytics tool that has quickly gained popularity as a privacy-friendly alternative to Google Analytics. By using Plausible Analytics, customers maintain full ownership of their website data and protect the privacy of their visitors, as the tool does not use cookies and is fully compliant with GDPR. Since its launch in April 2019, the platform has grown to service over 5000 paying subscribers, tracking 28,000 different websites and more than 1 billion page views per month. The platform's mission is to reduce corporate surveillance by providing an alternative web analytics tool that doesn't come from the AdTech world.
The Challenge
Plausible Analytics, a privacy-friendly alternative to Google Analytics, faced a significant challenge as it scaled its services. Since its launch in April 2019, the platform had grown to service over 5000 paying subscribers, tracking 28,000 different websites and more than 1 billion page views per month. However, the original architecture using Postgres to store analytics data was unable to handle the platform’s future growth. The loading speed of their dashboards was slow, taking up to 5 seconds, which was not conducive to a good user experience. The team realized that to continue their growth trajectory and maintain customer satisfaction, they needed a more efficient solution.
The Solution
The Plausible Analytics team decided to try ClickHouse, a recommendation they received through word of mouth. They noticed significant improvements in the loading speed of their dashboards, which now took less than a second to load, compared to the previous 5 seconds with Postgres. The team also tried other solutions, but ClickHouse outperformed them in terms of both performance and features. ClickHouse's efficiency and rich feature set made it easy for the team to work with, and it met all their needs exceptionally well. With ClickHouse, Plausible Analytics was able to serve even its largest customers with ease, including a customer with 150 million pages per month, a feat that would not have been possible with their previous architecture.
Operational Impact
Quantitative Benefit
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