Datadog vs. Request Metrics

DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.

Incentivized

Request Metrics is great for small web development teams that want to make fast web applications. It was quick for us to get started and we could use the reports right away without having to read through documentation. If you just need to get some performance metrics, Request Metrics is perfect. It would not be so good for a larger team or a complex backend application as it is pretty limited in what it can measure.

• 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

Incentivized

• Performance charts are really simple and easy for us to understand what is happening
• It was easy to get started and doesn't need administration or training
• It's affordable for our team
• It's fast

• We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly
• Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed
• I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time.

Incentivized

• I wish that it could also do uptime checking of the site
• There is not enough detail to drill into individual users

The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.

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

We also consider Speedcurve and Calibre for monitoring. Speedcurve was really nice, but the reports were slow. We had to wait a lot to get information. It was also out of our budget and would require extra justification to use it. Calibre was also nice, but the numbers were based on synthetic rather than real user performance. We felt that this wasn't as helpful for us.

• Visibility into website issues and performance problems has improved our company communication.
• Handling and detecting site issues faster has improved customer satisfaction and retention.
• Configuration of the Datadog site can take a bit of time and we lost a bit of developer time during that process.

Incentivized

• The launch of our project dashboard was much smoother and more successful because we could fix problems earlier
• It fit without our existing operations budget