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 most valuable feature of Elastic Observability is the text search."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"It's easy to deploy, and it's very flexible."
"The architecture and system's stability are simple."
"Machine learning is the most valuable feature of this solution."
"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."
"I have built a mini business intelligence system based on Elastic Observability."
"We can view and connect different sources to the dashboard using it."
"We detect issues using dashboards that we built on New Relic."
"As New Relic is already integrated with Drupal, we can get our projects done with best practice and with the best value that we believe in."
"The pricing is pretty good."
"The best feature of New Relic is its simple look and feel, making it easier to use than other tools."
"The most valuable feature of New Relic APM is the dashboard, New Relic Insights. I configured my own dashboard to monitor certain parameters."
"We have done the New Relic integration with Serverless AWS, which has helped us with monitoring, and keeping our monitoring from our on-premise part with the cloud part."
"The tool's most valuable features were APM and core reliability. We get alerts whenever an anomaly is detected. The solution is very friendly."
"We use it for monitoring, identifying when services go down, or when they are outside of what we would consider normal operations."
"Elastic Observability needs to have better standardization, logging, and schema."
"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 is room for improvement regarding its APM capabilities."
"More web features could be added to the product."
"There's a steep learning curve if you've never used this solution before."
"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."
"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 solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"The connectivity between legacy and newer cloud applications is not great."
"They should bring the pricing down to be more competitive."
"Real-user monitoring would be helpful as it would help me to really understand the client-side performance of the application."
"There are times when you restart the engines and the servers have a unique ID for the host and you need to remove the server. It is difficult because some are on-premise and others are production hosts. Having downtime is not very good when updating. However, it is not a constant issue."
"New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."
"I would like to see the company implement the AI auto-baseline feature which Dynatrace has."
"Some AIOps are missing in New Relic APS, and I would like to see more features in this area."
"It would be nice if there were pre-made dashboards."
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, Sentry, Azure Monitor and Datadog, 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.
