We performed a comparison between Elastic Observability and New Relic based on our users’ reviews in four categories. After reading the collected data, you can find our conclusion below.
Comparison Results: Elastic Observability has some features that users prefer over New Relic. Elastic Observability is user friendly and uses next-generation machine learning and AI, which help make it a very complete solution. New Relic users relate that the solution sometimes has issues with downtime when updating and can seem a bit buggy.
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"Machine learning is the most valuable feature of this solution."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"It's easy to deploy, and it's very flexible."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"Good design and easy to use once implemented."
"The solution allows us to dig deep into data."
"New Relic's dashboard is nice, and it's reliable. It's also compatible with many services, especially Java and the Python ecosystem."
"The most valuable features of New Relic are the reports and ease of use."
"The alert mechanism is quite accurate when something goes wrong in your system. For example, if you have hundreds of APIs on your server, and any of the APIs is not performing well, you get an alert. When there is a drop or change in the threshold value, the beauty of New Relic is that within a fraction of seconds, all the stakeholders who are configured in the New Relic system will get an alert. That's one good thing."
"The simplicity of the dashboard is very good."
"There are many valuable features in New Relic APM. We developed some software applications and we are able to monitor the errors very easily. Their log security retention is very good."
"We appreciate the way that this solution allows us to monitor the ongoing status of the UI at any given time."
"Working with the solution is very easy. It's user-friendly."
"It allows the restriction of privileges and control of users."
"There's a steep learning curve if you've never used this solution before."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."
"New Relic APM is a good tool, and it has a database of failures, but it could use a list of customer-specific failures. New Relic APM should be able to give my company advanced analytics through AI."
"The connectivity between legacy and newer cloud applications is not great."
"Some AIOps are missing in New Relic APS, and I would like to see more features in this area."
"One thing that we noticed was that historical information was only for a limited period, which was not helpful in certain scenarios. For example, if I want to size my system for an event for New Year or Christmas season based on the historical data, I won't be able to find the historical data. Currently, the data is limited to three months. It would be helpful if they can provide historical data for a longer duration so that we can plan our system accordingly."
"Real-user monitoring would be helpful as it would help me to really understand the client-side performance of the application."
"The UX/UI design of New Relic APM could be improved. The solution currently has some slow pages in terms of loading and viewing the pages, for example, the reports. The reports and other pages take a long time to load."
"I haven't come across any features that are lacking."
Elastic Observability is ranked 11th in Application Performance Management (APM) with 8 reviews while New Relic is ranked 3rd in Application Performance Management (APM) with 30 reviews. Elastic Observability is rated 7.4, while New Relic is rated 8.2. The top reviewer of Elastic Observability writes "Allows us capture data in observability points, place it into a database, and analyze it". On the other hand, the top reviewer of New Relic writes "Provides a complete picture of what's happening and has an accurate alert mechanism". Elastic Observability is most compared with Dynatrace, AppDynamics, Datadog, Azure Monitor and Sentry, whereas New Relic is most compared with Datadog, Dynatrace, Azure Monitor, Sentry and Splunk Enterprise Security. See our Elastic Observability vs. New Relic report.
See our list of best Application Performance Management (APM) vendors and best IT Infrastructure Monitoring vendors.
We monitor all Application Performance Management (APM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
