Datadog vs. Firebase Crashlytics

Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.

Incentivized

Firebase Crashlytics is a no-brainer if you are already using any of the other Firebase suite of products, as its integration is very easy if you are already using these in your app. If you have cross-platform Android, iOS, and macOS apps, you should also consider Firebase Crashlytics to provide a unified across your platforms. If your app is only on Android or only on Apple, then you may be better off remaining with the default Apple Developer or Google Play Developer Console crash collection experiences.

Incentivized

• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

Incentivized

• Providing stack traces that are useful when users have crashes.
• Tracking crashes per version (app and OS) so we know whether to release a version to everyone instead of a subset.
• Provides trending crsahes/problems if there's a spike in issues so we can get on it quickly.

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• Navigation between the issue listing and details is something difficult to understand for the new user.
• Pannel takes time in loading may be because of analytics data but it can be reduce.
• Not provide accurate line number in case of proguarded apps.

Because its fulfilling our basic and necessary requirements that can be an only and enough reason to renew the subscription.

There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.

Incentivized

It is very easy for non-developer staff to use the Firebase Console and gather information for the development team. Developers will find it straightforward to integrate Firebase Crashlytics into new or existing codebases using Google's in-depth developer documentation. I cannot think of an easier cross-platform solution to use, and because of that I wish it supported more platforms!

Incentivized

The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Incentivized

We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.

Incentivized

Truly speaking, it is also a quite good tool for crash reports, but Firebase Crashlytics was better to use when you are using the Firebase Realtime database as your DB, so the integrations become much easier.

Incentivized

• Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
• Alerts allow us to remedy issues before our customers even know about them
• Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.

Incentivized

• Fix bugs within hours rather than days or weeks
• Retain users longer by reducing their frustration due to crashes
• Keep management happy that our app is stable & bug-free

Incentivized