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 solution offers very detailed metrics for their services."
"Amazon CloudWatch is a cheap and easy-to-use solution."
"The most valuable feature of Amazon CloudWatch is the monitoring and UI."
"The solution effectively monitors golden signals like CPU, page requests, and queues."
"Our team finds it overall quite useful."
"It is a robust analytical tool and it goes beyond mere functionality and extends into the realm of providing comprehensive insights."
"It's a very simple logging system."
"The most valuable feature of Amazon CloudWatch is its ease of use and logs. You do not have to go to each separate system to see the logs, such as Syslog and they are located in one dashboard GUI."
"Datadog's seamless integration with Slack and PagerDuty helped us to receive alerts right to the most common notification methods we use (our mobile devices and Slack)."
"It is easy to navigate the menu and create tests."
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"It has provided visibility with ease of implementation and allowed multiple teams to quickly onboard it."
"The most valuable aspect is for us to have everything in one place."
"Datadog has proven to be easy to set up and legible for both development and operational teams."
"The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution."
"Datadog documentation on web pages has improved a lot and is pretty easy to follow and find."
"The solution could benefit from a price decrease."
"The drill-down aspect on the dashboard of the solution needs improvement. We get a very good high-level overview, but when we drill down, it becomes a little less clear. We have given this feedback to AWS as well and hope they will improve this in the future."
"What would make Amazon CloudWatch better is if it includes more on-site checks, particularly status checks on the CPU, network input/output, etc. It would also be helpful if there's built-in swap space, disk, and memory monitoring in Amazon CloudWatch because, at the moment, my team has to configure it manually through a shell script."
"There is room for improvement in the pricing, because they have a premium version, but it's not really a premium version. It's just an enhanced monitoring version, and it can be a bit expensive depending on your usage."
"Right now, in relation to monitoring services, there are too many services and too many metrics per service."
"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."
"The solution's pricing is a bit higher."
"The solution should provide human-readable metrics."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"Its pricing model can be improved. Its settings should be improved for a better understanding of billing. They should also provide some alerts when there is an increase in the usage. For example, if there is 20% more increase from one week to another, the customer should get an alert."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"Ingesting data from various sources to monitor the log metrics of the system can always improve so that, if something goes wrong, the right teams are alerted."
"The product could be improved by providing remote control to agents, enabling them to execute automation and collections without requiring another automation tool or integration."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"As a new customer, the Datadog user interface is a bit daunting."
Amazon CloudWatch is ranked 9th in Cloud Monitoring Software with 40 reviews while Datadog is ranked 1st in Cloud Monitoring Software 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 Cloud Monitoring Software vendors and best Log Management 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.
