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 price is very less expensive compared to the other solutions."
"It's easy to deploy, and it's very flexible."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"Good design and easy to use once implemented."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"The most valuable feature of Elastic Observability is the text search."
"The product has connectors to many services."
"It is a one stop shop and integrated with PagerDuty seamlessly. The solution is pretty self-contained."
"The most valuable features of New Relic are the reports and ease of use."
"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 most valuable feature is the ability to manage the application flow."
"The most valuable feature is application monitoring."
"The simplicity of the dashboard is very good."
"It is a software solution as a service, so I don't have to manage it on-premise."
"As soon as it monitors all our systems and is integrated with PagerDuty, the operations team just needs to wait for alerts on their cellphones to fix things."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"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."
"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."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"It is complicated, especially in how you interpret the data that it provides. If it had a bit more canned, out-of-the-box features, especially some of the reporting features, that would be more useful."
"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."
"I would like if it could have predictive analysis. Today, we only have the option to configure thresholds."
"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."
"I would like to have storage monitoring. E.g., being able to monitor SANS, specifically protocols, like NFS and CIFS metrics."
"The initial setup can be made easier. Like Mixpanel, New Relic can also have a step-by-step guide for the setup process."
"There has been some problem with the agent, and it is just not working well. It is not able to record information with the application server. They have been able to fix the issue, but it took quite a long time. This is the main issue in the APM products and also in New Relic. The mobile application monitoring has been pretty difficult to set up and also quite expensive. It should be a little bit easier and cheaper. Because it is pretty difficult and expensive, many customers don't take it."
"The connectivity between legacy and newer cloud applications is not 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.
