"It makes organizing work easier based on its relevance to specific projects and teams."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"The features are pretty much ready out of the box."
"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."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"The features are pretty much ready out of the box."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
"The UI enhancements could be a way to improve the solution in the future."
"Primarily, the logs in Slunk APM can be challenging to navigate and comprehend, making it difficult to understand the details within each log. Compared to other tools like LogDNA, which are more intuitive in this aspect, the logs in Slunk APM can require more effort to understand."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
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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