We performed a comparison between Datadog and Monte Carlo based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Zabbix, New Relic and others in Cloud Monitoring Software."Excellent autocomplete for everything in the UI."
"The solution has helped our organization with custom events to track specific cases."
"The biggest thing I liked was the combination of all the things - monitoring, log aggregation, and profiling."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify them of any elevated error rates or failures."
"It is easy to navigate the menu and create tests."
"It has saved us a lot of trouble in implementation."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"It makes organizing work easier based on its relevance to specific projects and teams."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"We need more integration functionality, including certain metrics integration."
"Sometimes it’s difficult to customize certain queries to find specific things, specifically with the logging solution."
"The FinOps needs improvement."
"We'd like Datadog to make the log storage cheaper."
"The setup was a bit complex."
"The solution needs to integrate AI tools."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
Datadog is ranked 1st in Cloud Monitoring Software with 137 reviews while Monte Carlo is ranked 1st in Data Observability with 1 review. Datadog is rated 8.6, while Monte Carlo is rated 9.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Monte Carlo writes "Provides centralized data observability features and has an easy-to-use user interface. ". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Monte Carlo is most compared with Splunk APM, Grafana, Dynatrace, Acceldata and Unravel Data.
We monitor all Cloud Monitoring Software 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.