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.
"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."
"I have built a mini business intelligence system based on Elastic Observability."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The product has connectors to many services."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"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."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"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 synthetic alert is the most valuable feature in New Relic APM. I also like the time travel feature and find traceability useful in the solution. New Relic APM also has good response times."
"It gives insights to non-technical people about what technical issues are most important, how much it impacts customers, and potentially, where we should be targeting our development teams when they have time."
"It has prevented failures from occurring in our production environment."
"We use it for monitoring, identifying when services go down, or when they are outside of what we would consider normal operations."
"The service maps that it creates, the health maps that it creates, the insights that it provides, etc., are all quite useful."
"It offers helpful user metrics so we can learn more about the user experience."
"It does everything we wanted it to do."
"It has helped us maintain a much higher uptime than we had previously."
"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 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."
"More web features could be added to the product."
"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."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"The cost must be made more transparent."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The APIs could be better. I would also like more APIs and features to integrate with streaming solutions, like Kinesis or Kafka."
"It is a serious tool and requires a lot of time invested in order to understand how it works."
"In the next release, I'd like to see a better pricing structure."
"There are certain features that are not supported in New Relic, such as CATSEARCH, which allows you to do a full-text search."
"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."
"It would be nice if there were pre-made dashboards."
"New Relic is very slow, and the app is a bit frustrating to use, which is something that has been happening a lot in the past year. During the last six months, I have noticed that it has become extremely laggy."
"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."
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.