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.
"The product has connectors to many services."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"The solution has been stable in our usage."
"The price is very less expensive compared to the other solutions."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"It's easy to deploy, and it's very flexible."
"The architecture and system's stability are simple."
"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 breakdown of the response time of different components and getting in-depth details of the slow component are the most valuable features. It is easy to use, and it gets the job done."
"The solution is good for sending alerts, drawing graphs about system usage, and creating plug-ins."
"The solution is quite stable."
"The most valuable feature of New Relic is its ease of use."
"We detect issues using dashboards that we built on New Relic."
"It is a software solution as a service, so I don't have to manage it on-premise."
"The best feature of New Relic is its simple look and feel, making it easier to use than other tools."
"We appreciate the way that this solution allows us to monitor the ongoing status of the UI at any given time."
"There's a steep learning curve if you've never used this solution before."
"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."
"Elastic Observability’s price could be improved."
"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."
"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."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"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."
"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."
"It is very difficult to award the service level cycles at an endpoint level."
"How granular I could go down at looking at certain data, especially related to the operations, is limited."
"I would like the ability to set up certain dummy accounts and do the actual things that the customer is doing, without impacting the production environment."
"New Relic does enable frontend performance monitoring by default. However, when we are troubleshooting the issue, New Relic is not able to trace back to the service where the issue is. Other solutions, such as Dynatrace are better."
"They should bring the pricing down to be more competitive."
"We would like to receive more AWS-specific details from the New Relic Dashboard, like EC2 health."
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 152 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, Azure Monitor, Sentry and Datadog, whereas New Relic is most compared with Dynatrace, Datadog, Grafana, Prometheus and Azure Monitor. 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.