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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 (1st), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
NNT Log Tracker Enterprise
Ranking in Log Management
57th
Average Rating
8.2
Number of Reviews
4
Ranking in other categories
Security Information and Event Management (SIEM) (60th)
 

Mindshare comparison

As of February 2026, in the Log Management category, the mindshare of Datadog is 4.5%, down from 6.2% compared to the previous year. The mindshare of NNT Log Tracker Enterprise is 0.5%, 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 (%)
Datadog4.5%
NNT Log Tracker Enterprise0.5%
Other95.0%
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

"Datadog has helped my organization improve a lot of response time because we get alerts the minute it happens, which is our only means to reduce incident response time."
"Datadog's visibility and debugging features help me day-to-day; specifically, we had an application that was throwing a bunch of errors causing an issue in our production database, and using Datadog, we were able to immediately isolate the error and plan around it."
"It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"Across CCM and the rest of Datadog, I like how sharable everything is."
"It helps us better manage our logs."
"Dashboards are helpful for reviewing occasionally to get a higher-level overview of what's happening."
"It has empowered all our platform engineers with a very powerful and easy to use monitoring system."
"This is a very easy-to-use interface with a quick ramp-up time."
"File integrity monitoring is a very important function."
"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

"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"When it comes to storing the logs with Datadog, I'm not sure why it costs so much to store gigabytes or terabytes of information when it's a fraction of the cost to do so myself."
"Geo-data is also something very critical that we hope to see in the future."
"The installation is easy for me. However, if you are new to this solution it might not be so easy."
"I would also like to see an improvement in the server's data extraction times, as sometimes it can take up to ten minutes to download a report for a critical issue that is costing us money."
"I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock."
"I think Datadog can be improved by continually finding errors and making things easy to see and customize."
"I would love to see more metrics or analytics in IoT devices."
"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."
"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."
 

Pricing and Cost Advice

"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."
"The cost is high and this can be justified if the scale of the environment is big."
"They prefer monthly subscriptions."
"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."
"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
"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."
"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."
"Consider both their on-premises solution and their hosted solution. Both are reasonably priced."
"NNT's pricing is moderate - I would rate their pricing two-and-a-half out of ten."
"We have selected a perpetual license along with support."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
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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With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
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: February 2026.
881,733 professionals have used our research since 2012.