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 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."
"Its diverse set of features available on the cloud is of significant importance."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"It has always been a stable solution."
"Machine learning is the most valuable feature of this solution."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The architecture and system's stability are simple."
"The integration and configuration of New Relic is straightforward and easy."
"They have baseline level alerting."
"One valuable feature is that the synthetic alert stays open until the issue is resolved. You can actually monitor whether your system is back up."
"The deep insights, which will give you the metrics (not a high level), so we can build out at the database level where the bottleneck is. This has been pretty helpful."
"The solution is good for sending alerts, drawing graphs about system usage, and creating plug-ins."
"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."
"New Relic's dashboard is nice, and it's reliable. It's also compatible with many services, especially Java and the Python ecosystem."
"The product allows the developer to see the actual problems in the applications."
"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."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"More web features could be added to the product."
"The cost must be made more transparent."
"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 interface could be improved."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"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."
"It is very difficult to award the service level cycles at an endpoint level."
"I think that there have been some questionable product enhancements. Over a year ago, New Relic rolled out a new navigation that really disrupted our workflow."
"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."
"It would help customers if there were an on-premises version available."
"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."
"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."
"In addition, its difficult to have a predictive tool to see how the application would behave in the future when it basically only shows the historical data."
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, Datadog and Sentry, 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.