Datadog vs Firebase Crashlytics

• APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
• Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
• Lightweight agent on hosts

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• Detecting Crashes
• Showing backtraces to the exact line of code causing the crash
• Fine-grained Notifications

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• User interface could be improved in some areas, looking for host information and the agent install link takes a bit of time.
• Configuration of the agent is generally done via a config file which is a pro and a con. It would be nice to have some UI to configure various agent options.
• Billing isn't entirely straightforward, they could use more reports to figure out the source of your monthly costs.

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• An easier way to understand app version adoption rates alongside crashes.
• I feel like the platform keeps trying to become more of an all encompassing analytics platform and should stick at what it does best—crash monitoring.
• Now that it has been acquired by Google, I hope things like navigation and implementation don't become more cumbersome as has been the recent case with Google Analytics.

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• One of our critical production databases went down a couple of weeks back. Just because we had the Datadog monitoring enabled for that database, Datadog sent the alerts to PagerDuty and we were instantly notified via pager and email alert. We could act right away and bring up the database within a few mins.
• Ability to create custom screenboards have allowed us to track the critical and warning alerts in front of our eyes all the time

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• Event tracking helps us identify issues in real time

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