We performed a comparison between Amazon CloudWatch and Datadog based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Datadog ultimately won out in this comparison. According to reviews, Datadog appears to be a more comprehensive and high performing solution. Amazon CloudWatch does come out on top in the setup and pricing categories, however.
"The tool's UI is good. One can scroll through the logs very easily."
"The solution effectively monitors golden signals like CPU, page requests, and queues."
"We have found the pricing to be reasonable."
"It is a stable solution...I rate the technical support a ten out of ten."
"The product can be integrated with AWS very easily."
"The detection is the most valuable feature."
"What my company likes best about Amazon CloudWatch is that it's on AWS. My team also likes it for its log feature. As the solution is on AWS, it also has good pricing and resource availability, plus it's what clients choose. My company also chose AWS for Forge ECS, and at the time, there was a need for the log features provided by Amazon CloudWatch, so it's the solution my team went with."
"We use Amazon CloudWatch for logging."
"The most valuable feature I have found is the elastic container service."
"The most valuable features of Datadog are the flexibility and additional features when compared to other solutions, such as AppDynamics and Dynatrace. Some of the features include AI and ML capabilities and cloud and analysis monitoring"
"Overall, the Data UI and the usability of customer features continue to improve."
"It brings in observability, monitoring, and alerting capabilities - all of which we need to operate at scale."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"The solution has helped our organization with custom events to track specific cases."
"The ease with which we can filter, use metrics, and give accounts to customers, then let the customer filter, set up metrics, and alerts. This has been a big win for us."
"I would like to monitor inbound and outbound transfer. I would also like to control the traffic for load balancing."
"Incorporating a straightforward method or a plug-and-play solution for integrating these databases with our systems, facilitating smooth data transfer, and enabling the creation of dashboards for monitoring and analysis would be beneficial."
"Better reporting is always something needed. That could be an answer to just about anything. But you always want better reporting, better dashboards, things that are just more dynamic and more accessible."
"The technical support must be improved."
"Right now, in relation to monitoring services, there are too many services and too many metrics per service."
"The solution could benefit from a price decrease."
"I think something that can be improved are the alerts and alerting mechanism based on no rejects. We want to have it more flexible and that is one of the key things that is required."
"For monitoring applications or for APM, CloudWatch has some limitations. You cannot monitor application performance from CloudWatch, and you have to go for a third-party tool."
"We would like to see some versioning system for the Synthetic Tests so that we could have a backup of our tests since they are time-consuming to make and very easy to damage in a moment of error."
"At times, it can be hard to generate metrics out of logs."
"The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments."
"I want to applaud the efforts in making the UI extremely usable and approachable. My suggestion would be to take another look at how the menu structure is put together, however. Even after using the platform mostly every day for months, I still find myself trying to find a service or feature in the menus."
"The error traceability is an area that can be improved."
"The menu on the left is pretty dense (and I know it has to be). I never knew about the cmd+k functionality until recently. It would be helpful to offer more tips/cheat sheets to see handy shortcuts like that."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"The ability to find what you are looking for when starting out could be improved."
Amazon CloudWatch is ranked 12th in Log Management with 40 reviews while Datadog is ranked 3rd in Log Management with 137 reviews. Amazon CloudWatch is rated 8.0, while Datadog is rated 8.6. The top reviewer of Amazon CloudWatch writes "Instantaneous response when monitoring logs and KPIs". On the other hand, the top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". Amazon CloudWatch is most compared with Zabbix, Google Cloud's operations suite (formerly Stackdriver), Dynatrace, SolarWinds NPM and Nagios XI, whereas Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Coralogix. See our Amazon CloudWatch vs. Datadog report.
See our list of best Log Management vendors and best Cloud Monitoring Software vendors.
We monitor all Log Management 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.