

Dynatrace and New Relic compete in application performance monitoring. Dynatrace has the upper hand in AI-driven insights, while New Relic is preferred for its extensive integrations.
Features: Dynatrace offers AI-driven problem detection, real-time monitoring, and advanced AI features. New Relic provides extensive integrations, user-friendly experiences, and detailed analytics.
Room for Improvement: Dynatrace faces challenges with setup complexity, high resource consumption, and deployment simplicity. New Relic experiences occasional slowdowns, needs better product documentation, and requires performance enhancements.
Ease of Deployment and Customer Service: Dynatrace has a complex deployment process but offers responsive customer support. New Relic has a smoother deployment experience but mixed feedback on customer service responsiveness.
Pricing and ROI: Dynatrace is considered more expensive but provides better ROI for advanced features. New Relic is more budget-friendly but may need additional investments for complete functionality. Dynatrace offers advanced feature benefits, while New Relic provides good value for broader integration needs.
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Save money by identifying problems, thereby reducing monetary losses on their application side.
There is a definite return on investment for New Relic, as we would not have invested in building its infrastructure if there were no returns.
One of the metrics that helped as a return on investment was the ability to detect issues faster and troubleshoot more quickly, which in turn helped to achieve a much better service level agreement with customers.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
Whenever we faced any issues, we could get timely resolution from their support.
If I drop an email to them, they will respond quickly to my email.
Customer support from New Relic is very good, and we rarely need to create support tickets.
Issues that could be solved quickly sometimes take longer because they go around in circles.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
We currently use New Relic for tens of thousands of developers and hundreds of teams within our organization, and we have not encountered any scalability 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.
Dynatrace is a SaaS product with frequent agent management updates.
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.
Because of the pricing model, organizations have experienced uncontrolled costs and were not able to afford New Relic.
When there is a component or UI customization, having a smart AI agent to guide users on customizing New Relic would significantly ease the process.
Dynatrace is known to be costly, which delayed its integration into our system.
If setting up in a large scale environment, it is overwhelming because it is expensive.
The cost can be controlled from our side, and it is very transparent with Dynatrace regarding DPS and licensing.
Considering the features New Relic offers, the pricing or cost setup has not been a blocker for our budget.
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.
Dynatrace links compute with services and services with code and other components.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
New Relic is very useful for teams that don't have much of a dedicated DevOps team but want to have observability for their platform, and it's an easy way to get started.
New Relic has positively impacted our organization by reducing errors, improving performance, and saving time.
| Product | Market Share (%) |
|---|---|
| Dynatrace | 7.4% |
| New Relic | 4.4% |
| Other | 88.2% |


| Company Size | Count |
|---|---|
| Small Business | 78 |
| Midsize Enterprise | 50 |
| Large Enterprise | 297 |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 50 |
| Large Enterprise | 65 |
Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.
Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:
What does Dynatrace offer?
Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:
Reviews from Real Users
Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.
Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."
A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."
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?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.
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