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DX NetOps vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 13, 2025

Review summaries and opinions

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

ROI

Sentiment score
7.0
Datadog enhances visibility, reduces downtime, saves costs, and optimizes workflows by integrating features and improving operational efficiency.
Sentiment score
6.3
DX NetOps enhances network visibility, reduces downtime, optimizes performance, lowers operational costs, and improves efficiency with an intuitive interface.
It can save you the cost of the product by reducing expenses and downtimes in 12 to 18 months.
 

Customer Service

Sentiment score
7.1
Datadog's customer service is responsive and knowledgeable, though some users report delays with complex queries and phone support.
Sentiment score
6.0
DX NetOps support varies by region; US excels, improvements noted, but some delays and knowledge gaps affect satisfaction.
They are fast, responsive, and have technical expertise.
 

Scalability Issues

Sentiment score
7.6
Datadog efficiently scales with cloud services, offering seamless expansion, though users highlight the importance of monitoring pricing.
Sentiment score
8.5
DX NetOps is praised for its scalability, managing networks from 1,000 to 100,000 devices, suiting enterprise-level needs.
The product is very scalable, to the maximum.
 

Stability Issues

Sentiment score
8.0
Datadog offers reliable and stable performance with minimal downtime, impressive uptime, and efficient monitoring, even during peak periods.
Sentiment score
9.5
Users consistently rate DX NetOps high for stability, citing its smooth, reliable operation without bugs or crashes.
I rate the stability of the product as ten on a scale of one to ten, indicating that it is very stable.
 

Room For Improvement

Datadog needs improved performance, interface simplification, clearer billing, better integration, customization, analytics, documentation, security, and mobile app integration.
DX NetOps needs better support, enhanced usability, sophisticated features, automation, AI capabilities, and simplified programming and hardware requirements.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
DX NetOps is somewhat convoluted, and some of the programming constructs can be documented or driven through languages such as Python, Perl, and shell scripting, but they have their proprietary language, which may not be very user-friendly.
It would be useful to have more AI features.
 

Setup Cost

Datadog offers flexible pricing based on usage and organization size, with potential for high costs if not monitored closely.
DX NetOps pricing offers cost-effective annual subscriptions with all features, competitive with IBM and Micro Focus, including support.
The setup cost for Datadog is more than $100.
I think the pricing is expensive.
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market.
 

Valuable Features

Datadog offers intuitive, comprehensive monitoring and integrations, enhancing infrastructure and application management with real-time insights and efficient operations.
DX NetOps offers superior network analysis, scalability, AI functionality, and ServiceNow integration, ensuring efficient monitoring across hybrid environments.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
The product features include automation through AI, allowing out-of-the-box analysis of performance data, building baseline trends, and enabling configuration of dynamic thresholds relative to collected data.
The best features I've seen so far with DX NetOps are that it can work with large scale systems, and it has a lot of functionalities and matrices.
 

Categories and Ranking

Datadog
Ranking in Network Monitoring Software
4th
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (1st), Cloud Monitoring Software (2nd), Cloud Security Posture Management (CSPM) (7th)
DX NetOps
Ranking in Network Monitoring Software
45th
Ranking in AIOps
17th
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Network Monitoring Software category, the mindshare of Datadog is 3.3%, down from 4.3% compared to the previous year. The mindshare of DX NetOps is 0.6%, down from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Monitoring Software
 

Featured Reviews

reviewer820579 - PeerSpot reviewer
Single pane of glass, easy to share dashboards, and good for monitoring
We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.
Mark Tukh - PeerSpot reviewer
Leverages comprehensive network monitoring and AI-driven automation for enhanced performance analysis
There is a model for network traffic analysis in the NetOps product called NetOps Flow Analyzer. It provides all the necessary protocols and analysis. DX NetOps supports network monitoring across hybrid environments, though I hope it works out of the box. The product features include automation through AI, allowing out-of-the-box analysis of performance data, building baseline trends, and enabling configuration of dynamic thresholds relative to collected data.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
5%
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
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 ...
What do you like most about DX NetOps?
It is straightforward to configure, and you can quickly gather data from your infrastructure.
What needs improvement with DX NetOps?
We have not used the predictive analytics capability of DX NetOps in impacting our network management processes. My experience with using automated root cause analysis is that it tells the symptoms...
 

Comparisons

 

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
Fujitsu
Find out what your peers are saying about DX NetOps vs. Datadog and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.