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 detection is the most valuable feature."
"Scheduling is a valuable feature."
"CloudWatch immediately hooks up and connects to the KPIs and all the metrics."
"Our team finds it overall quite useful."
"The most valuable feature of Amazon CloudWatch is collecting the logs from Lambda."
"The solution is easy to use."
"I have found the memory metrics and the CPU metrics valuable."
"The solution effectively monitors golden signals like CPU, page requests, and queues."
"The ability for Dynatrace to identify the root cause of problems in a timely manner through its powerful AI capability and dependency mapping is a real value add for the service that we offer."
"It gives complete stats of the user and what they are doing."
"The most valuable features are end user visibility, Smartscape, and the entire visibility of our data center, including SQL queries."
"I can get everything on a single page."
"The memory dumps, the tracing, and PurePath. All the tracing that you can do with the tool is, for us, our life. It's our daily job and it saves us a lot of time looking for performance issues."
"The installation and configuration were very straightforward and nice."
"Its AI can tell us when something is wrong, including the impacts and the root cause."
"It has more functionality, better additional components, and better management of problems. It also has a good AI."
"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."
"There's a learning curve with Amazon CloudWatch since we have to learn to write the queries to extract the keys and logs."
"Amazon CloudWatch needs improvement. The main thing is we have noticed missing logs."
"The technical support must be improved."
"The solution could benefit from a price decrease."
"Some of our customers want to use Kubernetes to monitor their CICD flow but Amazon CloudWatch does not support it. We need to use another solution, such as Datadog or Dynatrace has the needed capability."
"I do not know whether or not CloudWatch can be integrated with on-prem services."
"When customers want to see the CPU or memory utilization there is a cost. This should be free to see the utilization."
"I would like to see the ability to pull more user-friendly reports."
"Beginner video tutorials would really help."
"The initial setup was challenging for us. However, it was complex until you grasped the nuances of the product and the building blocks."
"An additional feature that we could use is the rollover. If we could rollover to different datacenters, then it would satisfy our requirement. I.e., if one datacenter fails, then we could rollover to another datacenter."
"With Dynatrace in our environment, the managed server required root access to run. As a government agency with tight security, this has been an audit concern for us."
"I would like to see Dynatrace be more user-friendly. Sometimes there are too many options to use from, which is good, but it can become confusing on how to proceed."
"It does not have mature enough dashboards."
"We would like to see more external tool integration, which is critical for us."
Amazon CloudWatch is ranked 12th in Log Management with 40 reviews while Dynatrace is ranked 4th in Log Management with 340 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 Nagios XI, 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.