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DX NetOps vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 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
7.1
Organizations experienced diverse returns with Datadog, reporting time savings, reduced blindspots, enhanced visibility, integration benefits, and efficiency improvements.
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
7.3
Datadog customer service is responsive and professional, offering proactive support despite occasional delays in their ticket system.
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 scales efficiently with diverse technologies, though rising costs and limited API capabilities remain concerns for some users.
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 performance with minimal downtime, resolving integration issues promptly and maintaining consistent uptime even during peak traffic.
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 struggles with performance, usability, and cost issues, requiring improvements in integration, documentation, and user interface.
DX NetOps needs better support, enhanced usability, sophisticated features, automation, AI capabilities, and simplified programming and hardware requirements.
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's pricing model is flexible yet can be costly, requiring careful planning to optimize its comprehensive features and avoid surprises.
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 excels in integration, monitoring, and data visualization, enhancing system reliability and efficiency with seamless AWS synchronization.
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
187
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), Cloud Security Posture Management (CSPM) (6th)
DX NetOps
Ranking in Network Monitoring Software
46th
Ranking in AIOps
18th
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 June 2025, in the Network Monitoring Software category, the mindshare of Datadog is 3.3%, down from 4.6% 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

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
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
Educational Organization
20%
Computer Software Company
13%
Financial Services Firm
13%
Manufacturing Company
7%
Financial Services Firm
16%
Computer Software Company
14%
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 is your experience regarding pricing and costs for DX NetOps?
The licensing cost of DX NetOps is expensive, not very affordable, and on the top of the price range in the market. However, there are no extra expenses in addition to the standard licensing fee.
What needs improvement with DX NetOps?
It would be useful to have more AI features.
 

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: May 2025.
857,028 professionals have used our research since 2012.