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."
"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"I have built a mini business intelligence system based on Elastic Observability."
"The solution has been stable in our usage."
"The architecture and system's stability are simple."
"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."
"Machine learning is the most valuable feature of this solution."
"It has given us better insight into the performance of the system."
"We are able to drill down and see what is going on in the system."
"The most valuable features are the dashboards and tracing."
"The VPN is one of the solution's most valuable features for us."
"The most valuable feature is application monitoring."
"We like the performance of the product."
"It offers helpful user metrics so we can learn more about the user experience."
"We detect issues using dashboards that we built on New Relic."
"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 APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"Elastic Observability’s price could be improved."
"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."
"There is room for improvement regarding its APM capabilities."
"The interface could be improved."
"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."
"They should bring the pricing down to be more competitive."
"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 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."
"The connectivity between legacy and newer cloud applications is not great."
"The solution should include more detailed reports for SQL database requests."
"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."
"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."
"The UX/UI design of New Relic APM could be improved. The solution currently has some slow pages in terms of loading and viewing the pages, for example, the reports. The reports and other pages take a long time to load."
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 151 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, Datadog, Sentry and Azure Monitor, whereas New Relic is most compared with Dynatrace, Datadog, Grafana, Azure Monitor and Prometheus. 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.