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.
"I have built a mini business intelligence system based on Elastic Observability."
"The price is very less expensive compared to the other solutions."
"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."
"It's easy to deploy, and it's very flexible."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Good design and easy to use once implemented."
"The most valuable feature of Elastic Observability is the text search."
"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."
"It offers helpful user metrics so we can learn more about the user experience."
"The integration and configuration of New Relic is straightforward and easy."
"New features are added often."
"They instrument up from the bottom to the top – every piece of code - they have a very perfect read of what’s being done, and how long it’s taking."
"End-user Synthetics and monitoring are very good."
"The solution offers good documentation."
"The solution is scalable, and it is easy because all the documentation is available."
"The most valuable feature is application monitoring."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability’s price could be improved."
"More web features could be added to the product."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"There's a steep learning curve if you've never used this solution before."
"The cost must be made more transparent."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"There is room for improvement regarding its APM capabilities."
"It would be nice if there were pre-made dashboards."
"The older view is much better than the new view that they have. We'd like to go back to that previous version. The user interface just isn't as nice as it used to be."
"Data Dog captures the entire session and then provides it as a video player path, which gives more insight into what the user was doing. It's pretty impressive. New Relic does that, yet it only captures using a couple of screenshots, which is not very detailed since you are unable to see the entire user flow."
"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."
"Some of our customers see New Relic as a promising product to have, and we would like to deliver it to them. The only way we would be able to do that would be if we had server appliance for clients that we could install in their data centres."
"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."
"Documentation could be improved in New Relic APM, so users would have more clarity on configuring the dashboard. If New Relic gave better guidelines, users would find it easier to understand the metrics and features of New Relic APM. Another area for improvement is integration with Kubernetes. Currently, the process isn't user-friendly. It's challenging and lacks documentation for users to understand how to integrate New Relic APM with Kubernetes quickly. With multiple levels of Kubernetes dockers and other DBs on different clouds, it's tricky to gather all into New Relic APM on a single dashboard. What I'd like to see in the next version of New Relic APM is a single dashboard where you can easily view which applications fall under specific APMs. If there's a search feature where you can type in a keyword to find out if an APM is related to a particular application, that would be great."
"The browser isn't exactly reliable."
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, Azure Monitor, Sentry, AppDynamics and Grafana, 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.