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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
6.5
Organizations experience significant cost efficiency and improved reliability with better debugging, proactive monitoring, and infrastructure optimization.
Sentiment score
6.7
Dynatrace boosts efficiency and cuts costs through automation, tool consolidation, enhanced monitoring, and improved application performance and stability.
Sentiment score
6.7
New Relic enhances performance by quickly pinpointing issues, improving application speed and stability, despite occasional pricing concerns.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
 

Customer Service

Sentiment score
6.7
Datadog support is praised for responsiveness and expertise, though some report variability in response time and communication issues.
Sentiment score
7.1
Dynatrace's support is friendly, knowledgeable, and responsive, though complex issues sometimes face extended resolution times.
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.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
For Dynatrace tech support, we have a dedicated team here, which is easily reachable.
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 offers excellent scalability and integration, but costs can rise without careful monitoring; users praise its efficiency.
Sentiment score
7.2
Dynatrace is highly scalable, handling large-scale environments efficiently with minimal overhead, though scaling costs can be a concern.
Sentiment score
7.7
New Relic is praised for its scalability, handling various environments efficiently, though some users consider costs a factor.
Datadog's scalability has been great as it has been able to grow with our needs.
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its stability, reliable uptime, minimal disruptions, and quick incident responses, ensuring consistent monitoring.
Sentiment score
7.5
Dynatrace is highly stable, with users praising its reliability, quick support for issues, and proactive development efforts.
Sentiment score
7.8
New Relic is highly stable, handling workloads well, with minor issues quickly resolved and consistently high user ratings.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Datadog seems stable in my experience without any downtime or reliability issues.
These incidents are related to log service, indexes, and metric capturing issues.
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 needs improvements in query performance, user interface, integrations, documentation, cost management, mobile features, and alert customization.
Dynatrace users seek improved .NET support, customization, performance, security, integrations, support, pricing clarity, and interface simplification.
New Relic users seek better pricing, enhanced integrations, improved documentation, and more comprehensive dashboards, alerts, and performance monitoring.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
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.
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.
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
They have been the pioneers from inception, and they remain at the top of the Gartner chart.
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

Enterprise users find Datadog's pricing high yet reasonable, with monitoring needed due to usage-based billing and potential cost variability.
Dynatrace offers advanced monitoring but can be costly due to a complex pricing model and potential scaling expenses.
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.
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
My experience with pricing, setup cost, and licensing is that it is really expensive.
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 offers insights, monitoring, and alerting with customizable dashboards for efficient issue resolution and enhanced performance optimization.
Dynatrace excels in transaction tracing, AI analysis, and comprehensive visibility, enhancing operational efficiency with real-time insights and easy deployment.
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.
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
The integration with Power BI for generating detailed reports is a standout feature.
Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.
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.
The best features in New Relic include its numerous API integrations and a good source of support.
Another aspect I appreciate is its good alerting mechanism, which can throw alerts and can be configured with PagerDuty or Slack, allowing easy checks on triggers and troubleshooting using New Relic.
 

Mindshare comparison

As of November 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 6.6%, down from 10.1% compared to the previous year. The mindshare of Dynatrace is 8.1%, down from 11.8% compared to the previous year. The mindshare of New Relic is 4.7%, down from 8.4% 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 (%)
Datadog6.6%
Dynatrace8.1%
New Relic4.7%
Other80.6%
Application Performance Monitoring (APM) and Observability
 

Q&A Highlights

BH
Dec 10, 2020
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
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
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
24%
Computer Software Company
10%
Manufacturing Company
8%
Government
7%
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 Business80
Midsize Enterprise46
Large Enterprise95
By reviewers
Company SizeCount
Small Business76
Midsize Enterprise50
Large Enterprise289
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,...
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...
What do you like most about Dynatrace?
The solution offers a better overview of applications. It offers end-to-end monitoring, and the user experience is re...
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?
New Relic can be improved by incorporating an automated incident analysis solution. They have comprehensive enterpris...
What is your primary use case for New Relic Insights?
I have worked with New Relic for approximately three to four years.
 

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: October 2025.
872,846 professionals have used our research since 2012.