We performed a comparison between Datadog and Moogsoft based on real PeerSpot user reviews.
Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided."
"We can handle debugging and find out why things are breaking in our applications."
"The most valuable features are the dashboards and the reporting."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"The solution has improved the organization by providing good insights into app performance and offering good dashboards."
"The Event Management feature is quite valuable."
"Incident management is streamlined with Moogsoft. One standout feature is its unique situation-creation capability, differentiating it from other fault management tools. While other tools typically convert alarms directly into tickets or incidents, Moogsoft adds a middle layer where multiple alarms can be aggregated into one incident. Moogsoft's strong AI capabilities also allow it to correlate similar alarms automatically based on past experiences."
"The AI component allows you to check previous cases and diagnose problems easily."
"Moogsoft's most valuable features are event management, correlation, and observability."
"I like the prediction features."
"The product currently seems to be a few steps ahead of the competition."
"The solution is extremely helpful with correlating IP failures and it has a very good sort of flow chart of IP systems. For example, if you see a failure in system A, you can track it down to the system causing the issue. This is a very handy feature."
"There are AI features in Moogsoft. Moogsoft has one wonderful feature that allows you to convert multiple alarms into situations. Generally, all other MoM tools get the alarms, and then convert it into an incident directly. There is one extra layer they have added before converting any alarm into an incident. Suppose there are multiple alarms that are somehow all related to a single source of issue. It converts all the alarms into a single situation, which then gets converted into an incident."
"I think better access to their engineers when we have a problem could be better."
"It would be nice to be able to graph metrics by excluding certain tags (like you can do in monitors)."
"Some of the interface is still confusing to use."
"The ease of implementation needs improvement."
"Even though it is powerful on its own, the UI-based design lacks elegance, efficiency, and complexity."
"Managing dashboards as IaC is a bit hard to work out at times."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"We want to reduce having to go to different screens to obtain all the information."
"I would like to see how Moogsoft integrates with the multi-cloud and brings out a single pane of glass, to see everything on one screen."
"They should consider including Chatbot."
"Some additional API interfacing would be great to enable getting the data out of AIOps programmatically."
"The tool needs to improve its support. It appears that the support responsiveness from Moogsoft is not aligned with the severity of the incident. Instead of proactively addressing issues, customers have to chase Moogsoft for resolution. In Moogsoft, unlike other tools like Splunk, the process follows a step-by-step sequence. You need to start each process in a specific order, typically following a sequence."
"I would like to see additional reports or information on the dashboard that includes metrics about CPU usage and memory."
"Moogsoft is dependent on external products to do orchestration and SOP-based functionality."
"The documentation and flexibility for generic integration could be improved."
"They are very much dependent on open-source technologies like RabbitMQ message bus. They are using open-source databases, Apache Tomcat, NGINX. If we face any issues with Apache Tomcat or the RabbitMQ message bus, then we do not get support from them. We have to troubleshoot it ourselves."
Datadog is ranked 2nd in IT Infrastructure Monitoring with 137 reviews while Moogsoft is ranked 38th in IT Infrastructure Monitoring with 11 reviews. Datadog is rated 8.6, while Moogsoft is rated 7.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Moogsoft writes "A cost-efffective cloud solution for noise filtration but needs enhanced interfaces". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Moogsoft is most compared with ServiceNow IT Operations Management, BigPanda, OpsRamp, Dynatrace and Splunk Enterprise Security. See our Datadog vs. Moogsoft report.
See our list of best IT Infrastructure Monitoring vendors and best AIOps vendors.
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