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.
"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 product has connectors to many services."
"Good design and easy to use once implemented."
"The most valuable feature of Elastic Observability is the text search."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"We can view and connect different sources to the dashboard using it."
"The solution has been stable in our usage."
"The solution allows us to dig deep into data."
"End-user Synthetics and monitoring are very good."
"The most valuable feature is the ability to manage the application flow."
"It is a software solution as a service, so I don't have to manage it on-premise."
"The service maps that it creates, the health maps that it creates, the insights that it provides, etc., are all quite useful."
"We detect issues using dashboards that we built on New Relic."
"It has in-depth analysis using developer code for someone whose not traditionally a developer."
"The feature I found most valuable is being able to design my queries. It's easy to design a query."
"Support for plug-ins (RMQ, Redis etc.) is a valuable feature."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability’s price could be improved."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"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 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 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 needs to improve the retrieval of logs and metrics from all the instances."
"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."
"It is very difficult to award the service level cycles at an endpoint level."
"It gives you amazing statistics, but doesn’t give you enough information about what to do with the statistics."
"The integration and configuration of this product in our AWS environment needs improvement on the filtering part. I would like it to go more granular on accounts."
"It is complicated, especially in how you interpret the data that it provides. If it had a bit more canned, out-of-the-box features, especially some of the reporting features, that would be more useful."
"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."
"There are certain features that are not supported in New Relic, such as CATSEARCH, which allows you to do a full-text search."
"The solution is quite expensive."
"I would like to see the company implement the AI auto-baseline feature which Dynatrace has."
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, Azure Monitor, Sentry and Datadog, 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.