Datadog vs. OpenNMS Meridian

A one-stop solution for everything you need. Multiple functionalities are tailored to meet specific business needs. Logs are essential for any business, and Datadog manages logs effectively. Rum sessions are something new to me and have given us a new perspective on how to reverse engineer issues that we see for our customers.

Incentivized

Large network environments with few types of devices. The system is great but getting all of the MIBs loaded and to try and create unique rules /alarm type. Alarm correlation is doable but it takes too much manual work and XML configuration. I do enjoy the dashboard and surveillance categories.

Incentivized

• Create Dashboards as per application, environments, and Custom metrics in one panel.
• Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
• Playbooks, SLA definition, success and error quotas, request visualizations.
• DB monitoring, Serverless stack monitoring.
• Alerting of Production incidents so we can quickly resolve the issues on time.

Incentivized

• When we used OpenNMS you could download the base package for free and configure it fairly easily for your own environment. You can't beat that kind of price break.
• OpenNMS had a very nice looking GUI that was easily navigated and fairly straightforward to understand and configure.
• There were a wide variety of add-ons available for download and implementation.

Incentivized

• Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
• I would appreciate more supportive examples for how to filter and view metrics in the explorer
• I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame

Incentivized

• It takes a fair amount of experimentation to fine tune information collection.
• Configuration can be quite cumbersome with a steep learning curve. It would be nice if more of this could be done via the web dashboard.
• The reliance on Java will put some users off. However, in fairness, it does mean it runs on a wide variety of hardware.

Incentivized

Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.

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

I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause analysis. Its custom dashboards features which helps us to visualize the data in a more attractive way.

Incentivized

Although Grafana is in no way an alternative to OpenNMS's full functionality, it can be integrated with other solutions (including OpenNMS itself) to offer the graphing and data visualisation aspects of OpenNMS. In this regard, Grafana is more flexible, and some would say prettier, than OpenNMS's graphing. For the best of both worlds, I'd recommend using them both!

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

• We've been able to improve our customers' experience.
• Because we're able to respond to issues quicker, we're able to better meet our SLAs.
• We are able to see smaller problems and address them before they become big problems.

Incentivized