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Datadog vs New Relic comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 1, 2024

Review summaries and opinions

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

Customer Service

Sentiment score
7.6
Datadog's customer service is generally praised for responsiveness and expertise, though some users note delays and lack of phone support.
Sentiment score
7.2
New Relic's support is generally efficient with 24/7 availability, but some users report occasional slow responses and mixed satisfaction levels.
 

Room For Improvement

Sentiment score
5.6
Datadog users face challenges with billing, integration, interface complexity, and desire more flexibility, support, and improved features.
Sentiment score
5.2
New Relic is costly, lacks comprehensive documentation, and needs improvements in integration, real-time monitoring, UI, reporting, and user support.
 

Scalability Issues

Sentiment score
7.9
Datadog offers scalable performance and customization but users should monitor rising costs and potential challenges with complex architectures.
Sentiment score
7.2
New Relic scales efficiently for various user groups, handling diverse workloads and expanding easily with consistent performance.
 

Setup Cost

Sentiment score
6.3
Datadog's pricing varies by organization size, requiring careful monitoring and planning due to complex usage-based billing and potential hidden costs.
Sentiment score
7.8
Enterprise buyers view New Relic's pricing as mixed, varying from affordable to costly, especially for full-stack observability and additional features.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its stability and reliable performance, effectively managing disruptions and supporting diverse operational needs.
Sentiment score
8.6
New Relic is stable and reliable, with rare performance hiccups and generally high stability ratings from users.
 

Valuable Features

Sentiment score
8.4
Datadog excels in real-time monitoring, intuitive interface, robust integrations, efficient alerts, and comprehensive performance tracking and system reliability.
Sentiment score
8.2
New Relic is valued for its monitoring capabilities, integration, user interface, accurate alerts, scalability, and stability across various services.
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Network Monitoring Software
3rd
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Cloud Monitoring Software
1st
Ranking in AIOps
1st
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
187
Ranking in other categories
Log Management (3rd), Container Monitoring (1st), Cloud Security Posture Management (CSPM) (6th)
New Relic
Ranking in Application Performance Monitoring (APM) and Observability
3rd
Ranking in Network Monitoring Software
6th
Ranking in IT Infrastructure Monitoring
5th
Ranking in Cloud Monitoring Software
4th
Ranking in AIOps
3rd
Average Rating
8.4
Reviews Sentiment
7.3
Number of Reviews
157
Ranking in other categories
IT Operations Analytics (2nd), Mobile APM (2nd)
 

Mindshare comparison

As of December 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 10.1%, down from 11.7% compared to the previous year. The mindshare of New Relic is 8.3%, down from 10.1% 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.
Iqbal Khowaja - PeerSpot reviewer
Has a simple user interface and end-to-end monitoring and self-healing features
My organization uses many application performance management solutions, such as AppDynamics, New Relic APM, Splunk, and Datadog. I'm the CTO for the state of Hawaii, and across the board, different departments use different APM tools. I'm using the latest version of New Relic APM, but I cannot recall the exact version. My company has a dozen engineers using and monitoring New Relic APM. I'd tell anyone planning to use New Relic APM that it has to fit what you have. For example, most of my company's payload is in AWS, and the tool has adopters and features that CloudWatch cannot provide. Still, New Relic APM can, so you should do a demo or trial run first and see if it's a tool that'll help you with end-to-end monitoring. New Relic APM is working well for my company, so an excellent way to start is to do a trial run to see how the tool works out for your current applications. My rating for the tool is nine out of ten because my experience with it has been great. New Relic also worked closely with my company and has always been upfront on what's available and what's not. My company is a New Relic APM customer.
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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
38%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
7%
Educational Organization
50%
Financial Services Firm
9%
Computer Software Company
8%
Manufacturing Company
4%
 

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 New Relic Insights?
The product's initial setup phase was very easy.
What needs improvement with New Relic Insights?
It helps prevent issues but does not cause losses. The error messages and deep insights may help us find the root cause and resolve the issue. It could be bit better. We are looking at sorting the ...
What is your primary use case for New Relic Insights?
It is used to monitor applications, error logs, and Azure Kubernetes. We have used this as a self-hosted service in Kubernetes. We are not using it as an agent-based service. We self-hosted this Ne...
 

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
 

Learn More

 

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: November 2024.
823,795 professionals have used our research since 2012.