Datadog vs. Firebase Crashlytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.7 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 9.5 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
Considered Both Products
Datadog
Chose Datadog
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.
Firebase Crashlytics

No answer on this topic

Best Alternatives
DatadogFirebase Crashlytics
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10
Matomo Analytics
Matomo Analytics
Score 8.7 out of 10
Medium-sized Companies
Sumo Logic
Sumo Logic
Score 8.8 out of 10
Flurry Analytics (discontinued)
Flurry Analytics (discontinued)
Score 9.0 out of 10
Enterprises
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
Flurry Analytics (discontinued)
Flurry Analytics (discontinued)
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogFirebase Crashlytics
Likelihood to Recommend
9.4
(55 ratings)
10.0
(8 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(1 ratings)
Usability
9.2
(34 ratings)
10.0
(1 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
DatadogFirebase Crashlytics
Likelihood to Recommend
Datadog
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
Read full review
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
  • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
  • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
  • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
Read full review
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.
Read full review
Likelihood to Renew
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
Google
Because its fulfilling our basic and necessary requirements that can be an only and enough reason to renew the subscription.
Read full review
Usability
Datadog
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
Read full review
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!
Read full review
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.
Read full review
Google
No answers on this topic
Implementation Rating
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
Google
No answers on this topic
Alternatives Considered
Datadog
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.
Read full review
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.
Read full review
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.
Read full review
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.