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Crashlytics vs Google Analytics: What are the differences?
Introduction
Crashlytics and Google Analytics are two popular tools that serve different purposes in the realm of software development and analytics. While Crashlytics is primarily focused on crash reporting and performance monitoring, Google Analytics provides insights into user behavior and website traffic. Below are the key differences between Crashlytics and Google Analytics.
Purpose: Crashlytics is specifically designed for crash reporting, allowing developers to track and monitor any app crashes and quickly identify and fix issues. On the other hand, Google Analytics provides comprehensive web analytics, offering insights into user behavior, traffic sources, conversions, and other website-related metrics.
Integration: Crashlytics is closely integrated with Firebase, a comprehensive mobile development platform, which provides additional features like cloud storage, real-time database, and cloud messaging. Google Analytics, on the other hand, is a standalone analytics tool that can be integrated into various platforms, including websites, mobile apps, and other digital channels.
Real-time Monitoring: Crashlytics offers real-time monitoring of crashes, allowing developers to receive instant notifications and track crashes as they occur. Google Analytics, on the other hand, provides near real-time data updates, but there may be a slight delay in receiving the latest analytics reports.
Data Collection: Crashlytics collects data related to app crashes, including crash logs, stack traces, device information, and user details. It focuses on identifying and resolving technical issues and improving app stability. On the contrary, Google Analytics collects a broader range of data, including user demographics, pageviews, session duration, and conversion tracking, with a focus on analyzing user behavior and website performance.
Event Tracking: Crashlytics primarily focuses on tracking crashes and performance-related events, including errors, exceptions, and application freezes. On the other hand, event tracking is a crucial aspect of Google Analytics, allowing developers to track user interactions, like button clicks, form submissions, and video plays.
Audience Segmentation: Google Analytics provides powerful audience segmentation capabilities, allowing users to analyze data based on various dimensions and create custom segments for in-depth analysis. Crashlytics, on the other hand, does not offer extensive audience segmentation features.
In summary, Crashlytics is a crash reporting tool focused on monitoring app crashes and performance, while Google Analytics is a comprehensive analytics platform providing insights into user behavior and website performance, catering to a broader range of data collection and audience segmentation needs.
Pros of Crashlytics
- Crash tracking78
- Mobile exception tracking56
- Free53
- Easy deployment37
- Ios25
- Great ui15
- Great reports11
- Android10
- Advanced Logging8
- Monitor Tester Lifecycle7
- Mac APP and IDE Plugins3
- Great User Experience3
- In Real-Time3
- iOS SDK3
- Security3
- Android SDK3
- The UI is simple and it just works2
- Best UI2
- Light2
- Real-time2
- Seamless2
- Painless App Distribution2
- Crash Reporting2
- Beta distribution2
- Mobile Analytics2
- Deep Workflow Integration2
- IOS QA Deploy and tracking1
- Easy iOS Integration1
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
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Cons of Crashlytics
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