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Datadog vs NNT Log Tracker Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 25, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Datadog
Ranking in Log Management
3rd
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
NNT Log Tracker Enterprise
Ranking in Log Management
56th
Average Rating
8.2
Number of Reviews
4
Ranking in other categories
Security Information and Event Management (SIEM) (60th)
 

Mindshare comparison

As of January 2026, in the Log Management category, the mindshare of Datadog is 4.7%, down from 6.2% compared to the previous year. The mindshare of NNT Log Tracker Enterprise is 0.4%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Datadog4.7%
NNT Log Tracker Enterprise0.4%
Other94.9%
Log Management
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
JT
Senior Infra Manager at a tech vendor with 10,001+ employees
Great for PCI compliance but issues with stability and large amounts of data
I mainly use this solution to meet PCI compliance The automation of compliance reports and the correlation of the log have been major improvements.  The most valuable feature is the predefined reports for PCI compliance. The correlation suite needs to be improved. I also think they need to…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The infrastructure monitoring capabilities are really valuable. You can just log on and see everything that is happening within an IT environment."
"When an alert fires, our on-call engineer can see the infrastructure metric spike (like CPU), pivot directly to the application traces (APM) running on that host, and see the exact, correlated logs from the services causing the problem—all in one place."
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"The ease of use allowed me to get up to speed with log management since it's my first time using Datadog."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"Datadog is constantly adding new features."
"Datadog has had a significant positive impact on our organization overall, particularly in visibility, reliability, and cost efficiency, allowing us to centralize metrics, logs, and traces across our cloud, moving from reactive to proactive monitoring, with improvements including faster incident detection and resolution, enhanced service reliability, better cost and resource optimization, and shared dashboards providing the engineering and product teams a single source of truth for system health and performance, thus enhancing our overall observability and operational efficiency."
"We also use APM and metrics to view the status of our Pub/Sub topics and queues, especially when dealing with undelivered messages."
"File integrity monitoring is a very important function."
"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."
 

Cons

"Datadog can be improved by addressing billing and spend calculation methods, as it would be better if these were more straightforward."
"Auto instrumentation on tracing has not been very easy to find in the documentation."
"Geo-data is also something very critical that we hope to see in the future."
"The error traceability is an area that can be improved."
"Managing dashboards as IaC is a bit hard to work out at times."
"In the past two years, there have been a couple of outages."
"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."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"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."
"It is able to identify the vulnerability, however, they need an option to auto-mitigate."
"Only one minor deployment issue came up and it was resolved quickly. No other areas of improvement come to mind yet."
 

Pricing and Cost Advice

"The solution is fairly priced but history and log storage can get costly depending on your needs."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"Consider both their on-premises solution and their hosted solution. Both are reasonably priced."
"We have selected a perpetual license along with support."
"NNT's pricing is moderate - I would rate their pricing two-and-a-half out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
8%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business80
Midsize Enterprise46
Large Enterprise99
No data available
 

Questions from the Community

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Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Wonga, WHSmith
Find out what your peers are saying about Datadog vs. NNT Log Tracker Enterprise and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.