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."It has good stability."
"It is a stable, reliable product."
"What I found most valuable in Grafana is that it has a lot of integrations and features that I need for data processing and visualization."
"The solution has good features."
"Visualisation: It is easy to create beautiful, understanding graphs, snapshots to share the graphs with people who do not have access to Grafana, and templating to create powerful graphs."
"The dashboards are the most valuable features."
"It gives us the visibility we need. I like that when we add deployment markers or release markers, we know exactly when an issue arises. For instance, if there is an increased usage of CPU, we can link it directly to the deployment that might have caused the issue. It increases productivity and observability. We can now easily tell when a certain issue arises. It's way easier to debug because it can point you to certain things based on these markers, and we can debug easier."
"The most valuable thing was that it had a good visualization tool."
"It makes organizing work easier based on its relevance to specific projects and teams."
"The product's configuration for saving files could be improved."
"Writing queries can be a bit difficult because the syntax must be maintained."
"The solution must provide tutorials and guides."
"Lacks event management which affects our DevOps people."
"There is a need for improvement in automating daily monitoring reports, especially when alerts are triggered due to system downtimes or fluctuations."
"If there was an issue on one node, we couldn't drill down and see all the issues on other nodes."
"The main drawback is the necessity for endpoint monitoring."
"Lacks in-depth graphs and sufficient AI."
"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, Azure Monitor, Sentry, Dynatrace and Elastic Observability, whereas Monte Carlo is most compared with Datadog, Splunk APM, Dynatrace, Acceldata 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.