Datadog vs. IBM SevOne

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

The software is handy and really helps us track all the issues that may occur in our network, allowing us to rectify them before any significant problems with our server can arise. It also enhances the overall performance of all our servers and networks, but, as I mentioned earlier, it will take considerable time for a beginner to become familiar with every feature of the software.

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

• To see trends in network usage, identify upgrade switches, increase bandwidth and cabling
• Provide dashboards to operations, logistics for both warehouse and production managers
• Can integrate into incident systems to auto create tickets when issues happen

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

• Documentation for the embedded help pages in NMS and more. In my opinion, these do not provide anything of any depth or maybe anything helpful at all. If anything it just seems to be a guide of what actually exists on the page. It is nicely searchable documentation though.
• It is very surprising and disappointing for us to learn that it isn't until the latest version of IBM SevOne that bulk editing was introduced. I think this is such a basic and foundational feature that should have been a part of the original rollout. My team is still trying to configure the REST API.
• It was disappointing for the webinar to start with a speaker who had a thick accent and simply read from slides. To me, it felt hopeless until the second speaker, who was engaging and easy to understand. It's as if this fact wasn't considered. I'm sure the first speaker lost a lot of viewers who didn't stick around to discover the 2nd speaker.
• I asked three different questions during the webinar and none were answered.

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

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

IBM SevOne was selected instead of Datadog because it is perfect for large insurance networks and also connects trouble-free between the on-premise and cloud environments. Its alerts are in real-time, it offers comprehensive dashboards and it allows to gain a better grip on the network issues, thus helping to keep the downtime small and the operations well managed thanks to the good communication.

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

• The software has minimal downtime, which helps us connect with our customers quickly and resolve their issues.
• Automated networks reports that it gives saves a lot of time and resources.
• Setting up and completing the configuration will take more than three months, which is a significant expense at the outset.

Incentivized