"It makes organizing work easier based on its relevance to specific projects and teams."
"This solution is very quick to deploy as it is a SaaS solution and integrates with tools like ServiceNow."
"The most valuable feature is dashboard creation."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"Splunk APM has helped us to standardize logging and monitoring procedures."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"Splunk's dashboards are great."
"The most valuable features are troubleshooting and optimizing application performance."
"The solution is stable and reliable."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
"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."
"They can improve the flow system and the keyword language. It has predefined keywords, but they can be improved."
"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."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"We currently lack log analysis capabilities in Splunk APM."
"Splunk's functionality could be improved by adding database connectors for other platforms like AWS and Azure."
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.
We monitor all Data Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
