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Datadog vs New Relic comparison

Datadog and New Relic are both solutions in the Application Performance Monitoring (APM) and Observability category. Datadog is ranked #1 with an average rating of 8.7, while New Relic is ranked #4 with an average rating of 8.0. Datadog holds a 7.2% mindshare in APM, compared to New Relic’s 5.1% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 94% of New Relic users who would recommend it.
Datadog
Read 188 Datadog reviews
  • 24,907 Views
  • 15,691 Comparison Views
97% willing to recommend
New Relic
Read 158 New Relic reviews
  • 13,943 Views
  • 11,573 Comparison Views
94% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 13, 2025

Datadog and New Relic compete in the monitoring solution category to enhance visibility and operational efficiency for businesses. Datadog holds an advantage due to its features, extensive integrations, and custom dashboard capabilities.

Features: Datadog offers sharable dashboards, intuitive AWS integration, and comprehensive logging tools. New Relic excels in application monitoring through APM, insightful error tracking, and detailed transaction analysis.

Room for Improvement: Datadog could improve its API consistency and reduce logging costs. New Relic can enhance its alert functionalities and performance monitoring flexibility. Both tools face user-experience challenges, needing improvements in UI intuitiveness and integration depth.

Ease of Deployment and Customer Service: Datadog supports versatile deployment across clouds and receives mixed customer service reviews. New Relic also offers broad deployment but needs improved support responsiveness and quicker response times.

Pricing and ROI: Datadog's flexible pricing may lead to high costs when scaling, yet users report decent ROI with productivity gains. New Relic is criticized for high pricing despite its analytical value, offering scalable options for startups but requiring strategic budget allocation for larger applications.

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Buyer's Guide
Datadog vs. New Relic
August 2025
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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
6.8
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.
No quotes available
For more quotes and insights, download the Datadog report
Issues that could be solved quickly sometimes take longer because they go around in circles.
For more quotes and insights, download the New Relic report
 

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
7.8
New Relic offers reliable scalability for diverse infrastructures, effectively handling thousands of applications and servers with minor concerns.
 

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.
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.
For more quotes and insights, download the Datadog report
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal.
For more quotes and insights, download the New Relic report
IS
Timothy Spangler - PeerSpot reviewerreviewer1599867 - PeerSpot reviewer
PP
 

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.
For more quotes and insights, download the Datadog report
No quotes available
For more quotes and insights, download the New Relic report
 

Valuable Features

Datadog offers intuitive, comprehensive monitoring and integrations, enhancing infrastructure and application management with real-time insights and efficient operations.
New Relic offers performance monitoring, real-time analysis, error detection, and integration tools, enhancing efficiency and user experience.
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.
For more quotes and insights, download the Datadog report
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
For more quotes and insights, download the New Relic report
Timothy Spangler - PeerSpot reviewerreviewer1599867 - PeerSpot reviewer
PP
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Network Monitoring Software
4th
Ranking in IT Infrastructure Monitoring
2nd
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 (3rd), Container Monitoring (1st), Cloud Security Posture Management (CSPM) (7th)
New Relic
Ranking in Application Performance Monitoring (APM) and Observability
4th
Ranking in Network Monitoring Software
10th
Ranking in IT Infrastructure Monitoring
8th
Ranking in Cloud Monitoring Software
5th
Ranking in AIOps
4th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
158
Ranking in other categories
IT Operations Analytics (3rd), Mobile APM (3rd)
 

Mindshare comparison

As of September 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 7.2%, down from 10.1% compared to the previous year. The mindshare of New Relic is 5.1%, down from 9.1% 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 (%)
Datadog7.2%
New Relic5.1%
Other87.7%
Application Performance Monitoring (APM) and Observability
 

Q&A Highlights

BH
Dec 10, 2020
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 you need to monitor applications end to end. I have tested them all and have not found one capable to give me solutions they all report you have a problem but you need to figure out what the problems is. So we have decided to develop our own AI and it is not only monitoring OSI layer 1 -3 but layer 1-8 as well it give you a solution what has been wrong based on delays in transactions combined with security. We have deployed this now across healthcare in the USA as well Airports but it is working on every industry and working in a SaaS solution. But if I have a chose between the tools you mentioned, Dynatrace is the best choose it is easy to install and has a great interface. Also it has almost no configuration.
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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.
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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
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 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.
Read full answer
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!
Read full answer
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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
15%
Computer Software Company
14%
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 Enterprise49
Large Enterprise60
 

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...
See all answers
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...
See all answers
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 ...
See all answers
What do you like most about New Relic Insights?
The product's initial setup phase was very easy.
See all answers
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...
See all answers
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...
See all answers
 

Comparisons

Dynatrace vs Datadog Logo
Dynatrace vs Datadog
Compared 12% of the time
Azure Monitor vs Datadog Logo
Azure Monitor vs Datadog
Compared 9% of the time
Splunk Enterprise Security vs Datadog Logo
Splunk Enterprise Security vs Datadog
Compared 5% of the time
AWS X-Ray vs Datadog Logo
AWS X-Ray vs Datadog
Compared 4% of the time
Splunk AppDynamics vs Datadog Logo
Splunk AppDynamics vs Datadog
Compared 3% of the time
More Datadog Competitors
Dynatrace vs New Relic Logo
Dynatrace vs New Relic
Compared 11% of the time
Elastic Observability vs New Relic Logo
Elastic Observability vs New Relic
Compared 8% of the time
Splunk AppDynamics vs New Relic Logo
Splunk AppDynamics vs New Relic
Compared 6% of the time
Azure Monitor vs New Relic Logo
Azure Monitor vs New Relic
Compared 5% of the time
Sentry vs New Relic Logo
Sentry vs New Relic
Compared 4% of the time
More New Relic Competitors
 

Product Reports

Buyer's Guide
Datadog
September 2025
Datadog reportDownload Datadog product report
Buyer's Guide
New Relic
August 2025
New Relic reportDownload New Relic product report
 

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

Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

  • Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
  • Metrics: Offers deep insights into system performance and user behavior.
  • Log Management: Provides powerful analytics for logs and seamless log aggregation.
  • Unified Tagging: Facilitates organization and retrieval of metrics and logs.
  • APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
  • Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

  • System Reliability: Helps ensure uptime and performance across cloud environments.
  • Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
  • Operational Efficiency: Streamlines monitoring and log management tasks.
  • Flexible Integrations: Adapts to various cloud services and infrastructure setups.
  • Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

Datadog

New Relic offers real-time application monitoring and insight into performance bottlenecks. Its customizable dashboards and APM integration provide efficient operational support, while server performance alerts ensure quick issue detection.

New Relic provides comprehensive monitoring of application performance, tracking bottlenecks across databases and front-end components. Users employ it for server and infrastructure monitoring, as well as analyzing key metrics such as CPU and memory usage. The solution's ability to integrate with tools like PagerDuty enhances incident management capabilities. However, users have expressed a need for improvements in query language simplicity, more detailed historical insights, and better mobile app monitoring support.

What are New Relic's most important features?
  • Real-Time Monitoring: Provides instant visibility into application performance.
  • Detailed Transaction Tracing: Identifies specific transaction issues quickly.
  • Error Rate Tracking: Monitors and reports on error occurrences efficiently.
  • Customizable Dashboards: Tailors dashboard views for specific needs.
  • APM Integration: Seamlessly integrates with application performance management tools.
What benefits and ROI should be considered?
  • Operational Efficiency: Quick issue detection reduces downtime.
  • Improved Debugging: Enhanced error analysis supports rapid problem resolution.
  • Comprehensive Monitoring: Offers a holistic view of application performance and user behavior.
  • Incident Management: Integration with incident tools helps streamline responses.
  • Efficient Alerts: Rapid alert systems ensure timely notifications of issues.

In industries like e-commerce and financial services, New Relic supports application performance monitoring to enhance user experience and system reliability. Organizations leverage its insights for optimizing performance, particularly in server operations and infrastructure management. Its ability to monitor API failures through synthetic monitoring is crucial for maintaining high service levels.

New Relic
 

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
Buyer's Guide
Datadog vs. New Relic
August 2025
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