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.
"For full stack observability, Elastic is the best tool compared with any other tool ."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"The architecture and system's stability are simple."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"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."
"Machine learning is the most valuable feature of this solution."
"I have built a mini business intelligence system based on Elastic Observability."
"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 solution is quite stable."
"End-user Synthetics and monitoring are very good."
"It is a software solution as a service, so I don't have to manage it on-premise."
"Every time there is a crisis, high traffic, or if we see a problem with a server, we go to New Relic and monitor it to determine the cause."
"You don't have to go through a list of 500 servers."
"The tool's most valuable features were APM and core reliability. We get alerts whenever an anomaly is detected. The solution is very friendly."
"The synthetics, alerts, and native inbuilt capabilities for monitoring the cloud with the New Relic agents have been helpful."
"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."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"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."
"There could be more low-code features included in the product."
"The cost must be made more transparent."
"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."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"There is room for improvement regarding its APM capabilities."
"The APIs could be better. I would also like more APIs and features to integrate with streaming solutions, like Kinesis or Kafka."
"The browser isn't exactly reliable."
"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."
"We have had issues with our agents going offline."
"The solution only supports the cloud platform and not on-premises."
"It would be nice if there were pre-made dashboards."
"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."
"The solution must provide better support for Azure Web Apps service."
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.
