Datadog vs New Relic

• 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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• New Relic lets you drill down into the nitty-gritty of your application, breaking down requests however far you want in order to inspect the performance of your application throughout the request lifecycle.
• New Relic offers many integrations with other services and technologies, making it easy to get it set up and start using it.
• New Relic offers many views and types of visualizations to help you understand what's going on in as much detail as you want to know.

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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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• New Relic can instrument many web frameworks out-of-the-box, but some of the less-popular frameworks require development.
• It can be hard to express that some 400-series responses are acceptable and expected, but that an unusual volume of them could be a defect.
• New Relic is very expensive, particularly if you have many QA environments.

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• Visibility into systems and performance gives us a go-to overview of all of our services.
• APM provides additional context for which parts of our workloads are taking the most time from our servers, and gives us the ability to try to reduce these pain points.
• Log management makes viewing logs from remote systems much easier, ultimately saving time and a lot of developer frustration.

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• New Relic has enabled us to be proactive when it comes to application errors, we can fix them before they reach a larger segment of our user base.
• We've been able to identify poorly performing database queries and tune the performance as a result.
• We've improved customer satisfaction by tracking overall performance and making improvements over time.

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