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Datadog vs Dynatrace vs New Relic comparison

 

Comparison Buyer's Guide

Executive Summary

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
7.3
Dynatrace users achieve faster issue resolution, reduced downtime, cost savings, and improved efficiency, enhancing innovation and performance.
Sentiment score
7.0
New Relic improved server response, product reliability, and development efficiency with valuable insights, despite some challenges in quantifying its benefit.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
 

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
7.3
Dynatrace support is friendly and knowledgeable but experiences with response times and integration assistance vary among users.
Sentiment score
7.6
New Relic's customer service is responsive and reliable, with quick assistance, though live chat options are lacking.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
Issues that could be solved quickly sometimes take longer because they go around in circles.
 

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
7.4
Dynatrace efficiently manages large environments, easily scales horizontally and vertically, though some report minor scalability challenges with costs.
Sentiment score
7.8
New Relic is highly scalable and adaptable, efficiently managing large applications and diverse environments with reliable performance.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
 

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
7.7
Dynatrace is praised for robust stability, high availability, smooth updates, and minimal issues, with consistent improvements over time.
Sentiment score
7.9
Users report New Relic as stable, reliable, with minor issues; recent updates boost performance during high-demand without data loss.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
There have been no stability issues with Dynatrace.
 

Room For Improvement

Datadog struggles with performance, usability, and cost issues, requiring improvements in integration, documentation, and user interface.
Dynatrace requires improvements in pricing, setup complexity, user interface, monitoring, AI accuracy, reporting, integrations, and support comprehensiveness.
Users seek better privacy controls, lower costs, improved functionalities, and enhanced support, reporting, and performance in the system.
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.
The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.
Dynatrace stands out when making comparisons with other tools.
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal.
 

Setup Cost

Datadog's pricing model is flexible yet can be costly, requiring careful planning to optimize its comprehensive features and avoid surprises.
Dynatrace is valued for features and cloud integration but seen as pricey; users desire clearer, flexible pricing models.
Enterprise users find New Relic's pricing complex and expensive, but appreciate its comprehensive features and competitive value compared to competitors.
The setup cost for Datadog is more than $100.
Dynatrace is known to be costly, which delayed its integration into our system.
If I would ask you to rate price from 1 to 10, where 1 is cheap and 10 is expensive, how many points would you give to it?
 

Valuable Features

Datadog excels in integration, monitoring, and data visualization, enhancing system reliability and efficiency with seamless AWS synchronization.
Dynatrace provides AI-driven monitoring with comprehensive performance insights, ease of deployment, intuitive UI, and seamless application integration.
New Relic offers real-time monitoring, detailed insights, and integration tools, enhancing application performance management with user-friendly scalability.
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 integration with Power BI for generating detailed reports is a standout feature.
Graduation features offered by Dynatrace provide a single view and can connect with many other monitoring systems.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
 

Mindshare comparison

As of June 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.6%, down from 10.8% compared to the previous year. The mindshare of Dynatrace is 10.3%, down from 13.3% compared to the previous year. The mindshare of New Relic is 6.1%, down from 9.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Q&A Highlights

BH
Dec 10, 2020
 

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.
Anand_Kumar - PeerSpot reviewer
Provides a comprehensive view by integrating with other monitoring systems
There may be an issue since there are many tools like Splunk involved in network monitoring. From an IP perspective, Dynatrace is performing well. If they want to develop in network monitoring, they can, as it's part of their product line. It's not rocketry, so they can accomplish it. If I, as an SI, look at it from an enterprise perspective, considering the cost from the client, I prefer not to go with multiple systems, as they don't provide a complete 360-degree view. They need to improve on claims about being an enterprise system. The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.
Rahul -Jain - PeerSpot reviewer
Good for application Performance Monitoring but not stable
There are two types of teams we have in every organization. One is for DevOps, and the second one is for performance testing. Those who are using these tools, like AppDynamics, Dynatrace, or whatever tool we have on the APM side. These tools are used by two teams: one is the performance team, and another one is the DevOps team. So, the setup and the alert system belong to the DevOps team, not for performance. So, I don't use any alerts in AppDynamics, Dynatrace, or any of the tools.
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Answers from the Community

BH
Dec 8, 2020
Dec 8, 2020
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 monitoring. We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace. Due to a highly mature ELK implementation, we are not trying to incorporate log ...
2 out of 5 answers
reviewer802371 - PeerSpot reviewer
Oct 20, 2020
Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.
reviewer1352679 - PeerSpot reviewer
Oct 20, 2020
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 monitoring.  We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace.  Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future.  We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation.  We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing.  Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools.   I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions.  You will need additional monitoring products to capture data and feed them.  Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment. Here's a quick pro/con list on Dynatrace & New Relic from our analysis. New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product. New Relic Cons: Requires lots of manual configurations to implement and support.  Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this.   Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful.  High integration of infra and APM data for full-stack observability and engineering.  Topology and trace discovery is more reliable than other products or our CMDB.  Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting.  AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project. Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis.  Host, process, and service data is not available to query within the product.  Alarm processing lacks some granular controls. The Plug-in library is less robust. Good luck with your decision!
 

Top Industries

By visitors reading reviews
Educational Organization
23%
Computer Software Company
12%
Financial Services Firm
12%
Manufacturing Company
6%
Educational Organization
31%
Financial Services Firm
18%
Computer Software Company
8%
Manufacturing Company
6%
Educational Organization
35%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
 

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,...
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 time...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was t...
Any advice about APM solutions?
The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if yo...
What cloud monitoring software did you choose and why?
While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire sta...
APM tools for a Managed Service Provider - Dynatrace vs. AppDynamics vs. Aternity vs. Ruxit
Hi Avi! It's great to see your thorough approach to selecting an APM package for your MSP company. Considering your f...
What do you like most about New Relic Insights?
The product's initial setup phase was very easy.
What needs improvement with New Relic Insights?
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal. The...
What is your primary use case for New Relic Insights?
I use New Relic for the creation of dashboards, alerts, and any type of observability resources that are relevant for...
 

Comparisons

 

Also Known As

No data available
No data available
New Relic Browser, New Relic Applied Intelligence, New Relic Insights, New Relic Synthetics, New Relic Servers, New Relic APM
 

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
Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
World Fuel Services, Verizon, FootLocker, McDonald's, Trainline, Mondia Media, Confused, Costa Coffee, Ryanair, Marks & Spencer, William Hill, Delivery Hero, Skyscanner, BASF, DAZN, Veygo, Virtuo, movingimage, talabat, Australia Post, Tokopedia, Seven Network, Virgin Australia, Zomato, BigBasket, Mercado Libre, Lending Club
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: June 2025.
855,266 professionals have used our research since 2012.