We performed a comparison between Amazon CloudWatch and Dynatrace based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Features: Amazon CloudWatch users liked the solution’s simplicity, intuitive interface, and ability to handle large workloads. Users also praised CloudWatch’s comprehensive monitoring and alerts. Dynatrace is highly regarded for its advanced AI engine and ability to identify infrastructure automatically. It also offers session replay and impressive visualization features. Some reviews mentioned that Amazon CloudWatch could improve performance and dashboard visualization through. Others noted that the solution lacked compatibility with some databases. Some Dynatrace reviewers feel the learning curve is a little steep, and the documentation could be clearer. Users say that Dynatrace should offer more security options and improve integration with other tools.
Service and Support: Customers generally have positive opinions about Amazon's customer service. They commended the support team for its availability and timely issue resolution. Users generally found Dynatrace's customer service to be helpful and available, but some said that the response times and documentation have room for improvement.
Ease of Deployment: Amazon CloudWatch is generally described as easy to set up. Dynatrace's setup is simple, efficient, and requires minimal technical configuration. It takes a few hours at most.
Pricing: Amazon CloudWatch offers a flexible pricing structure based on usage and processing without any separate licensing cost. Some users said that scaling up can be costly due to the need for additional storage space. Users say Dynatrace is expensive. Some noted that the licensing model is complicated and not transparent. Some said they struggled to accurately predict the number of units needed.
ROI: Amazon CloudWatch offers a return on investment by minimizing the need for manual monitoring. Dynatrace users said the solution saved them money and reduced downtime.
"The alarms are one thing I love about AWS CloudWatch. It has alerts that notify us when resource use is approaching the limit."
"You can enable alarms and metrics, and it has robust integration with AWS services. You can also trigger events. For example, if the CPU utilization is above 80%, it can launch a new instance for you."
"We can set CPU thresholds using the solution."
"Every time we get an alarm or have an incident, CloudWatch is always there. We use it not only for resources we've spun up in the cloud, but also for some of our on-premises resources."
"The product can be integrated with AWS very easily."
"The most valuable feature of Amazon CloudWatch is reliability."
"Setting up this product was easy. I found data analytics as its most valuable feature."
"The product helps us collect and store various metrics to set test alarms."
"Understanding how the user was being targeted by the application as well as knowing their behavior using those applications."
"The most valuable features for us include problem detection, root cause identification, Smartscape, and integration with cloud infrastructure like AWS, Azure, GCP, etc."
"It has helped us by reducing the number of incidents that we have had in the past."
"Google says is that you have a number of things on which you should measure your performance. One is if there's an error or not. Dynatrace tells you whether is an error or not. Second is saturation, whether something is getting saturated. You should be aware of what is getting saturated. Dynatrace even tells you that. The third is if there is a latency. Network latency is also told to me by Dynatrace."
"The solution's most valuable features are AI and root cause analysis."
".NET core and Spring code level analysis helps with root cause analysis."
"We scaled from 300 agents to 800 agents in six months. There were no issues at the server level, which is pretty good."
"I have reduced our disruption time. With the automatic alerts, we prevent and better catch the root cause of problems."
"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."
"The solution's auto-scaling could be improved."
"CloudWatch doesn’t monitor disk throughput by default."
"Improvement of SSSD logs would be beneficial."
"The dashboard and the UI could improve in Amazon CloudWatch. Additionally, they should focus on visibility inside the servers with AI and machine learning integrations. This would allow users who are using the solution to see what is happening within the system better."
"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."
"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."
"The product should provide more features."
"We do not have any web monitoring with Dynatrace."
"sometimes it happens that we are not able to capture things. For example, if a person is logged in from India, from the city of Mumbai, and is using a Chrome browser, and his email ID is xyz@abc.com. But what happens is, Dynatrace just fetches two pieces of the information, not all of it. Sometimes it gets it all, sometimes it doesn't."
"The web version of the client interface needs more features that are in the Java-based thick client."
"We would also like to see all the good data in a single view across multiple tools, so that access to integration is critical."
"Most of the time, chat support is not good enough for answering queries."
"Alert triggers could be easier to setup and more granular."
"The heavy client is not really user-friendly and the concepts (while powerful) are unintuitive."
"It would be nice to have a simplified monitoring feature for non-Java applications."
Amazon CloudWatch is ranked 12th in Log Management with 40 reviews while Dynatrace is ranked 4th in Log Management with 342 reviews. Amazon CloudWatch is rated 8.0, while Dynatrace is rated 8.8. The top reviewer of Amazon CloudWatch writes "Instantaneous response when monitoring logs and KPIs". On the other hand, the top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". Amazon CloudWatch is most compared with Zabbix, Datadog, Google Cloud's operations suite (formerly Stackdriver), SolarWinds NPM and Instana Infrastructure Monitoring, whereas Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor. See our Amazon CloudWatch vs. Dynatrace report.
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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.