We performed a comparison between Datadog and NNT Log Tracker Enterprise based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"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."
"With Datadog I can look at the health of the technology stack and services."
"Profiling has been made easier."
"The dashboards are great."
"It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers."
"This is a very easy-to-use interface with a quick ramp-up time."
"The FIM features in the Change Tracker and the Log Tracker are the most valuable."
"The most valuable feature is the predefined reports for PCI compliance."
"File integrity monitoring is a very important function."
"The pricing should be less of a surprise."
"Stability of the product has been a concern for us outside of the primary monitoring agents."
"I would love to see support for front-end and mobile applications. Right now, it is mostly all back-end stuff. Being able to do some integration with our front-end products would be awesome."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"They need to implement template variables into the message response body."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"The logging could be improved in the future."
"It is able to identify the vulnerability, however, they need an option to auto-mitigate."
"I would like to see the integration of AI technology, so rather than manually monitoring the logs, the tool will understand it and take care of it."
"The correlation suite needs to be improved."
"Only one minor deployment issue came up and it was resolved quickly. No other areas of improvement come to mind yet."
Datadog is ranked 2nd in Log Management with 137 reviews while NNT Log Tracker Enterprise is ranked 45th in Log Management with 4 reviews. Datadog is rated 8.6, while NNT Log Tracker Enterprise is rated 8.2. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of NNT Log Tracker Enterprise writes "Great for PCI compliance but issues with stability and large amounts of data". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas NNT Log Tracker Enterprise is most compared with Cybereason Endpoint Detection & Response. See our Datadog vs. NNT Log Tracker Enterprise report.
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