"It makes organizing work easier based on its relevance to specific projects and teams."
"The most important thing is that it tells us where the latency in throughput and response time are."
"It is a one stop shop and integrated with PagerDuty seamlessly. The solution is pretty self-contained."
"Server uptime is its most valuable feature."
"The pricing is pretty good."
"The synthetic alert is the most valuable feature in New Relic APM. I also like the time travel feature and find traceability useful in the solution. New Relic APM also has good response times."
"The monitoring so far has been good and we are happy with it."
"The simplicity of the dashboard is very good."
"We are able to drill down and see what is going on in the system."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"The connectivity between legacy and newer cloud applications is not great."
"The solution must provide better support for Azure Web Apps service."
"One thing I'd like to see in any APM, especially New Relic, is the ability to use distributed transactions. When one microservice calls another, it calls another database and microservice. The entire data visualization layer will not be able to correlate from one microservice from end to end and return on that path. Distributed transactions would be a great addition that would make life simpler. Unfortunately, no APM has that end-to-end capability."
"Data Dog captures the entire session and then provides it as a video player path, which gives more insight into what the user was doing. It's pretty impressive. New Relic does that, yet it only captures using a couple of screenshots, which is not very detailed since you are unable to see the entire user flow."
"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."
"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."
"One thing that we noticed was that historical information was only for a limited period, which was not helpful in certain scenarios. For example, if I want to size my system for an event for New Year or Christmas season based on the historical data, I won't be able to find the historical data. Currently, the data is limited to three months. It would be helpful if they can provide historical data for a longer duration so that we can plan our system accordingly."
"The scalability can be improved."
Monte Carlo is ranked 1st in Data Observability with 1 review while New Relic is ranked 3rd in Application Performance Monitoring (APM) and Observability with 152 reviews. Monte Carlo is rated 9.0, while New Relic is rated 8.6. The top reviewer of Monte Carlo writes "Provides centralized data observability features and has an easy-to-use user interface. ". 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". Monte Carlo is most compared with Datadog, Splunk APM, Grafana and Dynatrace, whereas New Relic is most compared with Dynatrace, Datadog, Elastic Observability, Grafana and Prometheus.
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