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 solution allows us to dig deep into data."
"The solution has been stable in our usage."
"Machine learning is the most valuable feature of this solution."
"The architecture and system's stability are simple."
"I have built a mini business intelligence system based on Elastic Observability."
"Good design and easy to use once implemented."
"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."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"You don't have to go through a list of 500 servers."
"New Relic's dashboard is nice, and it's reliable. It's also compatible with many services, especially Java and the Python ecosystem."
"The versatility of the solution is its most valuable feature."
"The feature I found most valuable is being able to design my queries. It's easy to design a query."
"It offers helpful user metrics so we can learn more about the user experience."
"The solution offers good documentation."
"The alert mechanism is quite accurate when something goes wrong in your system. For example, if you have hundreds of APIs on your server, and any of the APIs is not performing well, you get an alert. When there is a drop or change in the threshold value, the beauty of New Relic is that within a fraction of seconds, all the stakeholders who are configured in the New Relic system will get an alert. That's one good thing."
"The monitoring so far has been good and we are happy with it."
"There's a steep learning curve if you've never used this solution before."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"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 price is the only issue in the solution. It can be made better and 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."
"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."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The solution should include more detailed reports for SQL database requests."
"The solution needs to have staging."
"We would like a dashboard feature to be created for this product. This would allow us to monitor both the front and back-end of our UIs performance, and then report on it."
"In the next release, I'd like to see a better pricing structure."
"The browser isn't exactly reliable."
"One thing I'd like to see in any APM, especially New Relic, is the ability to use distributed transactions. When one microservice calls another, it calls another database and microservice. The entire data visualization layer will not be able to correlate from one microservice from end to end and return on that path. Distributed transactions would be a great addition that would make life simpler. Unfortunately, no APM has that end-to-end capability."
"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."
"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."
Elastic Observability is ranked 6th in Application Performance Monitoring (APM) and Observability with 13 reviews while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 34 reviews. Elastic Observability is rated 7.6, while New Relic is rated 8.2. The top reviewer of Elastic Observability writes "Allows us capture data in observability points, place it into a database, and analyze it". On the other hand, the top reviewer of New Relic writes "Provides a complete picture of what's happening and has an accurate alert mechanism". Elastic Observability is most compared with Dynatrace, AppDynamics, Sentry, Datadog and Azure Monitor, whereas New Relic is most compared with Dynatrace, Datadog, Azure Monitor, Sentry and Grafana. See our Elastic Observability vs. New Relic report.
See our list of best Application Performance Monitoring (APM) and Observability vendors and best IT Infrastructure Monitoring 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.
