Datadog vs. Sensu, by Sumo Logic

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

• Well suited for raising pagers when you have count-based metrics.
• Well suited for threshold-based metrics.
• Not well suited for tracking events over the day, since graphs and other visualizations are missing.

Incentivized

• 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

• Unique concept as a "monitoring router" that can tie services together.
• Backward-compatible with Nagios environments.
• More of a DevOps focus than Nagios.

Incentivized

• 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

• Cannot be solely used for tracking metrics over time.
• Not a very good UI.

Incentivized

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

Sensu's customer support was always willing to work with us but never really seemed to learn much from our experiences. I think they get a lot of customers with DevOps IT teams that are willing to put in a lot of elbow grease to get the most of Sensu's architecture. However, despite explaining my continued disappointment with their documentation and the overall flow of the product, I never got much more than a "sorry" and a notice that their documentation was open source if I wanted to contribute to it. The problem, of course, is that you can't document what you don't understand. I'm a former technical writer, so I know that better than most.

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

Have used New Relic and Sematext Cloud for APM and for tracking over days and visualizing the issues. But those are very expensive as compared to Sensu.

Incentivized

• 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

• Standing up the Sensu Go server took very little effort.
• Setting up and maintaining the build processes and deployment logic for Sensu assets and checks was somewhat exhausting and resulted in lower adoption among non-DevOps IT.
• The limited web interface resulted in lower adoption among non-DevOps IT.

Incentivized