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Google Analytics vs Open Web Analytics: What are the differences?
Introduction
Google Analytics and Open Web Analytics are both web analytics tools that provide valuable insights into website performance and user behavior. However, there are key differences between the two platforms that might influence your choice when deciding which one to use.
Data Ownership and Privacy: One major difference between Google Analytics and Open Web Analytics is the control and ownership of data. With Google Analytics, your data is stored on Google's servers, which means that Google has access to your data and can use it for their own purposes. On the other hand, Open Web Analytics is a self-hosted solution, allowing you to have complete control and ownership of your data, ensuring better privacy and data security.
Cost: Cost is an important factor to consider when choosing between Google Analytics and Open Web Analytics. Google Analytics offers a free version with limited features, but also provides an enterprise-level solution with advanced features at a cost. On the contrary, Open Web Analytics is an open-source tool that is completely free to use, making it a cost-effective option for individuals and small businesses.
Customization and Flexibility: When it comes to customization and flexibility, Open Web Analytics provides more freedom compared to Google Analytics. With Open Web Analytics, you have the ability to customize and modify the tool according to your specific needs and requirements. This includes adding custom reports, integrating with other tools, and extending the functionality. Google Analytics, on the other hand, has limited customization options and functionalities, as it is a more standardized platform.
Online vs Offline Analytics: Another key difference between Google Analytics and Open Web Analytics is the ability to track offline activities. While Google Analytics primarily focuses on tracking online activities such as website visits and conversions, Open Web Analytics offers the ability to track both online and offline events. This can be especially useful for businesses that have physical stores or conduct offline marketing activities.
Integration with Other Platforms: Google Analytics has strong integration capabilities with a wide range of Google products and services, such as Google Ads and Google Search Console. This allows for a seamless flow of data between different platforms and enhances the overall tracking and reporting capabilities. Open Web Analytics, on the other hand, might have limited integration options and may require additional configuration to integrate with other platforms.
Technical Expertise and Support: The level of technical expertise required to set up and maintain Google Analytics is generally lower compared to Open Web Analytics. Google Analytics has a user-friendly interface and extensive documentation, making it easier for beginners to get started. Additionally, Google provides reliable support and regular updates for the platform. Open Web Analytics, being an open-source tool, might require more technical knowledge and troubleshooting skills to fully utilize and maintain.
In Summary, Google Analytics offers robust data analysis capabilities with strong integration options, but lacks flexibility and control over data. Open Web Analytics provides better data ownership, customization options, and cost-effectiveness but may require more technical expertise and has limited integration capabilities.
Pros of Google Analytics
- Free1.5K
- Easy setup927
- Data visualization891
- Real-time stats698
- Comprehensive feature set406
- Goals tracking182
- Powerful funnel conversion reporting155
- Customizable reports139
- Custom events try83
- Elastic api53
- Updated regulary15
- Interactive Documentation8
- Google play4
- Walkman music video playlist3
- Industry Standard3
- Advanced ecommerce3
- Irina2
- Easy to integrate2
- Financial Management Challenges -2015h2
- Medium / Channel data split2
- Lifesaver2
Pros of Open Web Analytics
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Cons of Google Analytics
- Confusing UX/UI11
- Super complex8
- Very hard to build out funnels6
- Poor web performance metrics4
- Very easy to confuse the user of the analytics3
- Time spent on page isn't accurate out of the box2