We performed a comparison between Grafana and Monte Carlo based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."There are multiple kinds of models there to create dashboards, which is quite useful."
"Grafana is able to connect with multiple data sources, unlike Elasticsearch."
"Compatibility with Prometheus databases and the Spring Boot application make it the first choice when moving toward an SRE model."
"The integration between Loki and Tempo is valuable."
"The solution has good features."
"Collaboration: Shares data and dashboards across teams."
"It has good stability."
"Grafana is a very scalable product. It's a really good product."
"It makes organizing work easier based on its relevance to specific projects and teams."
"Trigger limits are difficult to see in a graph."
"It would be helpful if they simplified the data source."
"Multiple dashboards combined into one dashboard has slowed things down for us."
"There is room for improvement when using multiple dashboards because they can become complicated to keep track of and use."
"The product's configuration for saving files could be improved."
"There are not a lot of plugins for financial market monitoring."
"Grafana need to improve the logging functionality."
"More dashboard is required, out-of-the-box, for OpenNMS."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
Grafana is ranked 6th in Application Performance Monitoring (APM) and Observability with 39 reviews while Monte Carlo is ranked 1st in Data Observability with 1 review. Grafana is rated 8.0, while Monte Carlo is rated 9.0. The top reviewer of Grafana writes "Agent-free with great dashboards and an active community". On the other hand, the top reviewer of Monte Carlo writes "Provides centralized data observability features and has an easy-to-use user interface. ". Grafana is most compared with New Relic, Sentry, Azure Monitor, Elastic Observability and Dynatrace, whereas Monte Carlo is most compared with Datadog, Splunk APM, Acceldata, Dynatrace and Unravel Data.
We monitor all Application Performance Monitoring (APM) and 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.