Datadog vs. OpenText Network Node Manager i (NNMi)

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 large-scale deployment without needing more servers. Linux installation is quite stable, and Polling of a large number of devices is well managed. Less suited to Network Observability scenarios or cloud network monitoring.

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

• Fault and Performance Monitoring
• Performance Reporting
• Alerting and Flexible threhsolds
• Product stability

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

• More out of the box monitoring parameters features
• Improved GUI
• Independent reporting functionality within NNMi

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

NNMi's user interface is described as well-designed and intuitive, making it easy for users to navigate and perform tasks quickly, thereby enhancing the overall user experience. The system offers a powerful network discovery mechanism that maps out your network's physical and virtual topology, enabling you to visualize connections between devices and identify potential issues. Fault monitoring is at its best. NNMi provides a unified environment for viewing faults, availability, and performance data, consolidating essential information into a single platform.

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

Support is long and arduous and often are unable to help resolve the issue. We often have to do escalations or duty manager to get things moved. Even with a technical account manager, we do not see much improvement from a support point of view. This is an area where Micro Focus has a lot of improvement to do.

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

Even though there are many products in the market such as from Solarwinds, CA Spectrum (no DX Spectrum), PRTG that offers similar or even with more flexibility the fault and performance monitoring still Micro Focus is a very nice tool when it comes to Scalability and Stability with all necessary monitoring coverage. There is no external database required and hence less issues with integration.

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

• HP NNM is very good at producing root cause analysis. MTTR is reduced with NNM.

Incentivized