We performed a comparison between New Relic and Elastic Observability based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Users prefer Elastic Observability over New Relic due to its comprehensive visualization and metrics, better control over backend calls, and AI integration, including simple-to-use machine learning. Despite its straightforward setup, users suggest that New Relic could improve error debugging, correlation with logs, historical data retention, and AI and machine learning capabilities.
"Machine learning is the most valuable feature of this solution."
"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."
"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 solution has been stable in our usage."
"The product has connectors to many services."
"Good design and easy to use once implemented."
"The price is very less expensive compared to the other solutions."
"The solution allows us to dig deep into data."
"The synthetics, alerts, and native inbuilt capabilities for monitoring the cloud with the New Relic agents have been helpful."
"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 important thing is that it tells us where the latency in throughput and response time are."
"The most valuable feature of New Relic is its ease of use."
"It has the ability to monitor random URLs not tied to the one pinger per application (though it costs extra)."
"We detect issues using dashboards that we built on New Relic."
"The stability of New Relic APM is very good."
"The most valuable feature is the ability to manage the application flow."
"There could be more low-code features included in the product."
"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."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The interface could be improved."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"The cost must be made more transparent."
"Documentation is one of the biggest things that I have a problem with since its documentation is not clear sometimes."
"Real-user monitoring would be helpful as it would help me to really understand the client-side performance of the application."
"They could improve the education process and how people understand that these tools are very technical. Right now, if someone was to pick it up from day one, it is a very steep learning curve."
"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."
"The solution only supports the cloud platform and not on-premises."
"I would like a feature where I can turn off alerting at a policy level. Thus, when a policy is inactive, I can shut down all of my alerts within the policy."
"Some AIOps are missing in New Relic APS, and I would like to see more features in this area."
"The monitoring is only as good as the alerts that it produces. By having it set up fine grain alerting, it is a bit of a pain."
Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 151 reviews. Elastic Observability is rated 7.8, while New Relic is rated 8.6. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of New Relic writes "Has a simple user interface and end-to-end monitoring and self-healing features". Elastic Observability is most compared with Dynatrace, AppDynamics, Datadog, Sentry and Azure Monitor, whereas New Relic is most compared with Dynatrace, Datadog, Grafana, Azure Monitor and Prometheus. See our Elastic Observability vs. New Relic report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best IT Infrastructure Monitoring vendors, and best Cloud Monitoring Software vendors.
We monitor all Application Performance Monitoring (APM) and Observability 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.