Datadog vs. Firebase Crashlytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.6 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
Firebase Crashlytics
Score 9.2 out of 10
N/A
Crashlytics is a mobile analytics tool which helps users find the exact line of code that their app crashed on, providing granular insight into mobile app performance and user experience. Crashlytics was acquired by Google in 2017 and is now offered as part of the Firebase product.N/A
Pricing
DatadogFirebase Crashlytics
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
No answers on this topic
Offerings
Pricing Offerings
DatadogFirebase Crashlytics
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogFirebase Crashlytics
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User Ratings
DatadogFirebase Crashlytics
Likelihood to Recommend
9.4
(35 ratings)
10.0
(8 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(1 ratings)
Usability
7.6
(14 ratings)
10.0
(1 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
DatadogFirebase Crashlytics
Likelihood to Recommend
Datadog
Where Datadog is good: - Real-time Visibility During Incidents: During high-severity incidents, Datadog dashboards, coupled with real-time logging and APM traces, provide immediate insight into system health and enable fast triage. For example, we’ve used trace ID correlation between logs and APM to quickly identify downstream service failures due to network degradation during a major outage. - Service Ownership at Scale: With over 50 engineering teams, providing self-service monitoring is essential. We use Datadog monitors, SLO dashboards, and templates so teams can track their own service health without reinventing the wheel. Tagging and RBAC features help us scope data access appropriately. Where Datadog can improve: While Datadog’s logging capabilities are powerful, storing all application logs in Datadog can become cost-prohibitive at high volumes.
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Google
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.
Read full review
Pros
Datadog
  • 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.
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Google
  • 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.
Read full review
Cons
Datadog
  • 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
Read full review
Google
  • 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.
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Likelihood to Renew
Datadog
No answers on this topic
Google
Because its fulfilling our basic and necessary requirements that can be an only and enough reason to renew the subscription.
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Usability
Datadog
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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Google
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!
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Support Rating
Datadog
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.
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Google
No answers on this topic
Alternatives Considered
Datadog
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.
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Google
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.
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Return on Investment
Datadog
  • 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.
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Google
  • 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
Read full review
ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.