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 has been stable in our usage."
"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."
"It's easy to deploy, and it's very flexible."
"Machine learning is the most valuable feature of this solution."
"Its diverse set of features available on the cloud is of significant importance."
"I have built a mini business intelligence system based on Elastic Observability."
"It has always been a stable solution."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The most valuable feature is application monitoring."
"It is stable and scalable."
"New features are added often."
"Their technical support is pretty good and responsive. We have a real good relationship with them."
"The simplicity of the dashboard is very good."
"The most valuable features are infrastructure monitoring and application performance monitoring (APM)."
"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 most valuable feature is the ability to receive in-depth information about applications. It can detect a lot of important information."
"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 could be more low-code features included in the product."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The cost must be made more transparent."
"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."
"More web features could be added to the product."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Elastic Observability needs to have better standardization, logging, and schema."
"The solution does not provide input on how the page performs in a big group. It just says that the page performance is bad, but it does not say what can be done to improve it. If they could provide some insight or guidance on how to make improvements, that would be a big help."
"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."
"The price could improve."
"How granular I could go down at looking at certain data, especially related to the operations, is limited."
"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."
"We would like to receive more AWS-specific details from the New Relic Dashboard, like EC2 health."
"I would like the ability to set up certain dummy accounts and do the actual things that the customer is doing, without impacting the production environment."
"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 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.