Datadog vs. Sensu, by Sumo Logic

As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.

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

• 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.

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

• In my experience, .NET Tracing Agent caused severe and untraceable performance issues
• In my opinion, usage and billing structures were opaque and surprising
• In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
• I feel support was unhelpful at times, and bounced us back and forth to other teams
• In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost

Incentivized

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

Incentivized

Definitely will not revisit after our issues and, in my opinion, poor support.

Incentivized

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.

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

Documentation was difficult to work through, rollout was catastrophic (completely outage)

Incentivized

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.

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

• 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.

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