"It makes organizing work easier based on its relevance to specific projects and teams."
"Detectors are a powerful feature."
"The most valuable features are troubleshooting and optimizing application performance."
"The solution is stable and reliable."
"Splunk's dashboards are great."
"It is a good tool. It allows you to set alerts for application and infrastructure monitoring, and it allows you to create dashboards."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"The UI enhancements could be a way to improve the solution in the future."
"The licensing model is expensive. We need to monitor the amount of data ingested because the cost is based on the data collected."
"The UI enhancements could be a way to improve the solution in the future."
"The cardinality is pretty low."
"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."
"There are some predefined metrics.......we may want to create customized metrics."
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, Dynatrace, Acceldata 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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