"It makes organizing work easier based on its relevance to specific projects and teams."
"Splunk's dashboards are great."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The features are pretty much ready out of the box."
"The most valuable features are troubleshooting and optimizing application performance."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"Detectors are a powerful feature."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"We currently lack log analysis capabilities in Splunk APM."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"The cardinality is pretty low."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"The monitoring of workloads when using SignalFx could be improved."
"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 13th in Application Performance Monitoring (APM) and Observability with 13 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, Grafana, Acceldata, Dynatrace and Unravel Data, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability, Observe and Dynatrace.
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