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Crashlytics vs Google Analytics: What are the differences?
Crashlytics: The world's most powerful, yet lightest weight crash reporting solution. Free for everybody. Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix; Google Analytics: Enterprise-class web analytics. Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.
Crashlytics and Google Analytics are primarily classified as "Mobile Error Monitoring" and "General Analytics" tools respectively.
Some of the features offered by Crashlytics are:
- Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful!
- Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix.
- Now you'll get precise information on the performance of the devices that your apps run on. We'll let you know if the crash only happens on a specific model or generation of a device. We'll even tell you other information, like whether your app only crashes in landscape mode, or whether the proximity sensor is always on.
On the other hand, Google Analytics provides the following key features:
- Analysis Tools- Google Analytics is built on a powerful, easy to use, reporting platform, so you can decide what data you want to view and customize your reports, with just a few clicks.
- Content Analytics- Content reports help you understand which parts of your website are performing well, which pages are most popular so you can create a better experience for your customers.
- Social Analytics- The web is a social place and Google Analytics measures success of your social media programs. You can analyze how visitors interact with sharing features on your site (like the Google +1 button) and engage with your content across social platforms.
"Crash tracking", "Mobile exception tracking" and "Free" are the key factors why developers consider Crashlytics; whereas "Free", "Easy setup" and "Data visualization" are the primary reasons why Google Analytics is favored.
According to the StackShare community, Google Analytics has a broader approval, being mentioned in 15339 company stacks & 2444 developers stacks; compared to Crashlytics, which is listed in 352 company stacks and 69 developer stacks.
Pros of Crashlytics
- Crash tracking77
- 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
- Real-time2
- Crash Reporting2
- Beta distribution2
- Mobile Analytics2
- Best UI2
- Deep Workflow Integration2
- Android SDK2
- The UI is simple and it just works2
- Light2
- Seamless2
- Painless App Distribution2
- Easy iOS Integration1
- IOS QA Deploy and tracking1
Pros of Google Analytics
- Free1.5K
- Easy setup923
- Data visualization888
- Real-time stats696
- Comprehensive feature set402
- Goals tracking180
- Powerful funnel conversion reporting154
- Customizable reports137
- Custom events try83
- Elastic api53
- Updated regulary13
- Interactive Documentation8
- Google play3
- Advanced ecommerce2
- Industry Standard2
- Walkman music video playlist2
- Medium / Channel data split1
- Financial Management Challenges -2015h1
- Lifesaver1
- Easy to integrate1
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Cons of Crashlytics
Cons of Google Analytics
- Confusing UX/UI9
- Super complex6
- Very hard to build out funnels5
- Poor web performance metrics3
- Very easy to confuse the user of the analytics2
- Time spent on page isn't accurate out of the box2