"It makes organizing work easier based on its relevance to specific projects and teams."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"The features are pretty much ready out of the box."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The most beneficial aspect of Slunk APM is the ATM, which is the map displaying the inbound and outbound relationships of the microservices, as well as the traffic between these dependencies. This feature provides us with valuable insights and helps us understand the interactions between different microservices."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"The most valuable features are troubleshooting and optimizing application performance."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"The UI enhancements could be a way to improve the solution in the future."
"The monitoring of workloads when using SignalFx could be improved."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"The UI enhancements could be a way to improve the solution in the future."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
Monte Carlo is ranked 1st in Data Observability with 1 review while Splunk APM is ranked 14th in Application Performance Monitoring (APM) and Observability with 12 reviews. Monte Carlo is rated 9.0, while Splunk APM is rated 8.2. 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 Splunk APM writes "Provides great visibility, analysis, and data telemetry". Monte Carlo is most compared with Datadog, Dynatrace, Grafana, Acceldata and Unravel Data, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability, Grafana and Dynatrace.
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