We performed a comparison between Checkmk and Datadog based on real PeerSpot user reviews.
Find out in this report how the two Cloud Monitoring Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The single dashboard is a valuable feature."
"We can manage the entire system across the network and troubleshoot the pain points."
"I really like the auto-discovery feature."
"The initial setup of Checkmk was easy...It is a very stable solution."
"It's versatile, scalable, and easier to use compared to other solutions like Nagios and OMD."
"The most valuable feature of the solution is that it has a lot of different pieces, and they all work together...It is a very scalable solution. Scalability-wise, I rate the solution a ten out of ten."
"We can monitor multiple sites using the product."
"The most valuable features of Checkmk are its resource monitoring, infra monitoring, and log factor configuration."
"Datadog's log aggregation is really helpful since it lets me and every other engineer on my team login, view, and share logs when we need to debug our application."
"We have a better grasp of what is occurring during the deployment cycle. If something fails, we have an idea what has failed, where it has failed, and how it failed to better mitigate the situation."
"The web app has a real-time support chat window in which a support engineer is chatting with you within a minute."
"The solution is sufficiently stable."
"With Datadog I can look at the health of the technology stack and services."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
"The solution has helped out organization gain improved visibility."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"The Wi-Fi side needs improvement."
"The technical support needs improvement."
"In Checkmk, the documentation can probably be improved a bit more."
"I think that the integration and the exporting of the data collected are areas where Checkmk lacks but should try to improve the most."
"The initial setup is a bit complex."
"Sometimes we receive alerts, and it can become annoying when you acknowledge an alert. It is very clunky when you acknowledge the alert. The process is not very intuitive, and there are instances where it feels a bit cumbersome to acknowledge an alert."
"If an alert is generated for a specific pattern in the log, and if Checkmk catches that log, it will stay there even after the alert is resolved."
"It is easy for tech-savvy people, but newcomers might find it intimidating."
"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."
"It can be overwhelming for new people as it has a lot of features."
"All solutions have some area to improve, and in Datadog they can improve their overall technology moving forward."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"I've found that the documentation is lacking in certain regards."
"I'd like to see better pricing and more integration in the next release."
"Deploying the agents is still very manual."
"ECS could be improved by including more tutorials for beginners to reduce the barriers to entry."
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Checkmk is ranked 15th in Cloud Monitoring Software with 6 reviews while Datadog is ranked 1st in Cloud Monitoring Software with 137 reviews. Checkmk is rated 8.6, while Datadog is rated 8.6. The top reviewer of Checkmk writes "A reasonably priced tool for system and application monitoring". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". Checkmk is most compared with Zabbix, Icinga, Netdata, Centreon and Observium, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability. See our Checkmk vs. Datadog report.
See our list of best Cloud Monitoring Software vendors, best Network Monitoring Software vendors, and best IT Infrastructure Monitoring vendors.
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.