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Datadog vs New Relic 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
6.7
New Relic enhances performance by quickly pinpointing issues, improving application speed and stability, despite occasional pricing concerns.
 

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
7.5
New Relic's customer service is praised for quick, helpful support, although some experience variable wait times and off-hour delays.
Issues that could be solved quickly sometimes take longer because they go around in circles.
I have reached out to customer support multiple times for various cases, particularly for customization such as creating dashboards, and my experience has been good.
 

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
7.7
New Relic is praised for its scalability, handling various environments efficiently, though some users consider costs a factor.
 

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
7.8
New Relic is highly stable, handling workloads well, with minor issues quickly resolved and consistently high user ratings.
 

Room For Improvement

Datadog needs improved performance, interface simplification, clearer billing, better integration, customization, analytics, documentation, security, and mobile app integration.
New Relic users seek better pricing, enhanced integrations, improved documentation, and more comprehensive dashboards, alerts, and performance monitoring.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
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.
There should be a clearer view of the expenses.
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal.
New Relic can get pricey for larger organizations.
 

Setup Cost

Datadog offers flexible pricing based on usage and organization size, with potential for high costs if not monitored closely.
Enterprise buyers should consider New Relic's complex and potentially expensive pricing model, especially for smaller companies or large deployments.
The setup cost for Datadog is more than $100.
 

Valuable Features

Datadog offers intuitive, comprehensive monitoring and integrations, enhancing infrastructure and application management with real-time insights and efficient operations.
New Relic offers easy installation, real-time monitoring, detailed insights, custom dashboards, and efficient integration, enhancing application performance and optimization.
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.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
Your data is monitored end to end, which could be directly linked with the SLA and SLO.
New Relic has positively impacted my organization by providing faster detection capabilities, allowing us to easily find issues, which is the best advantage.
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Network Monitoring Software
4th
Ranking in IT Infrastructure Monitoring
3rd
Ranking in Cloud Monitoring Software
2nd
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Log Management (4th), Container Monitoring (2nd), Cloud Security Posture Management (CSPM) (6th)
New Relic
Ranking in Application Performance Monitoring (APM) and Observability
4th
Ranking in Network Monitoring Software
9th
Ranking in IT Infrastructure Monitoring
8th
Ranking in Cloud Monitoring Software
5th
Ranking in AIOps
4th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
160
Ranking in other categories
IT Operations Analytics (3rd), Mobile APM (3rd)
 

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 7.4%, down from 10.4% compared to the previous year. The mindshare of New Relic is 5.1%, down from 8.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Datadog7.4%
New Relic5.1%
Other87.5%
Application Performance Monitoring (APM) and Observability
 

Q&A Highlights

BH
Dec 10, 2020
 

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.
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
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
8%
Retailer
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise42
Large Enterprise82
By reviewers
Company SizeCount
Small Business65
Midsize Enterprise50
Large Enterprise61
 

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 New Relic Insights?
The product's initial setup phase was very easy.
What needs improvement with New Relic Insights?
I reviewed another observability tool, DataDog, and we moved away from New Relic because the pricing was not convenient and didn't fit our budget. With DataDog, some of the APM features we were loo...
What is your primary use case for New Relic Insights?
Our main focus is APM-related functionality, so we were looking for a convenient way to get all the details, as some of them are missing from New Relic and Grafana. Currently, we are working with S...
 

Comparisons

 

Also Known As

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
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 vs. New Relic and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.