We performed a comparison between Amazon CloudWatch and Splunk APM based on real PeerSpot user reviews.
Find out what your peers are saying about Splunk, Wazuh, Datadog and others in Log Management."Monitoring time and ensuring ease in it is the most valuable feature."
"Setting up this product was easy. I found data analytics as its most valuable feature."
"The monitoring features are valuable."
"The most valuable feature of Amazon CloudWatch is collecting the logs from Lambda."
"The product helps us collect and store various metrics to set test alarms."
"The tool's UI is good. One can scroll through the logs very easily."
"The solution is easy to use."
"The initial setup is easy."
"The most valuable features are troubleshooting and optimizing application performance."
"The volume it handles is very good, including the number of metrics, the volume number of traces, and more."
"The solution's service map feature allows us to have a holistic overview and to see quickly where the issues are."
"The features are pretty much ready out of the box."
"The solution is stable and reliable."
"I like the fact that Splunk APM makes it easy to connect to the application database and run queries against the data."
"The features are pretty much ready out of the box."
"Detectors are a powerful feature."
"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 technical support must be improved."
"The solution's auto-scaling could be improved."
"It is hard to configure; it is not a straightforward tool."
"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."
"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."
"The product's configuration has some challenges. The solution needs to be more user-friendly."
"The dashboard of Amazon CloudWatch is not very customizable right now."
"There are some predefined metrics.......we may want to create customized metrics."
"Primarily, the logs in Slunk APM can be challenging to navigate and comprehend, making it difficult to understand the details within each log. Compared to other tools like LogDNA, which are more intuitive in this aspect, the logs in Slunk APM can require more effort to understand."
"I've been using the Splunk query language, and it can be a bit time-consuming to set up the queries I need."
"The monitoring of workloads when using SignalFx could be improved."
"It is essential for the monitoring tool to deliver quick response times when generating analytical reports, instead of prolonged delays."
"Splunk APM should include a better correlation between resources and infrastructure monitoring."
"The cardinality is pretty low."
"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."
Amazon CloudWatch is ranked 12th in Log Management with 40 reviews while Splunk APM is ranked 13th in Application Performance Monitoring (APM) and Observability with 12 reviews. Amazon CloudWatch is rated 8.0, while Splunk APM is rated 8.2. The top reviewer of Amazon CloudWatch writes "Instantaneous response when monitoring logs and KPIs". On the other hand, the top reviewer of Splunk APM writes "Provides great visibility, analysis, and data telemetry". Amazon CloudWatch is most compared with Zabbix, Datadog, Google Cloud's operations suite (formerly Stackdriver), Dynatrace and SolarWinds NPM, whereas Splunk APM is most compared with Splunk ITSI (IT Service Intelligence), Sentry, Elastic Observability, Monte Carlo and Dynatrace.
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.
