We performed a comparison between Amazon CloudWatch and Elastic Observability based on real PeerSpot user reviews.
Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The monitoring feature is valuable."
"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."
"CloudWatch immediately hooks up and connects to the KPIs and all the metrics."
"The solution effectively monitors golden signals like CPU, page requests, and queues."
"The solution offers very detailed metrics for their services."
"The monitoring features are valuable."
"The detection is the most valuable feature."
"The product can be integrated with AWS very easily."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"Its diverse set of features available on the cloud is of significant importance."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"Good design and easy to use once implemented."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"The most valuable feature of Elastic Observability is the text search."
"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."
"Amazon CloudWatch's pricing needs improvement."
"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 technical support must be improved."
"When customers want to see the CPU or memory utilization there is a cost. This should be free to see the utilization."
"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."
"The graphical interface has room for improvement. CloudWatch only gives you a breakdown of what's wrong. However, it would be nice if it could automatically remedy the problems it identifies. You should be able to configure it so that when a specific condition arises, it will take a predefined action."
"I do not know whether or not CloudWatch can be integrated with on-prem services."
"There is room for improvement regarding its APM capabilities."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"There's a steep learning curve if you've never used this solution before."
"There could be more low-code features included in the product."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
Amazon CloudWatch is ranked 12th in Log Management with 40 reviews while Elastic Observability is ranked 14th in Log Management with 22 reviews. Amazon CloudWatch is rated 8.0, while Elastic Observability is rated 7.8. The top reviewer of Amazon CloudWatch writes "Instantaneous response when monitoring logs and KPIs". On the other hand, the top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". Amazon CloudWatch is most compared with Zabbix, Datadog, Google Cloud's operations suite (formerly Stackdriver), Dynatrace and IBM SevOne Network Performance Management (NPM), whereas Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and AppDynamics. See our Amazon CloudWatch vs. Elastic Observability 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.