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Datadog vs Amazon CloudWatch Comparison (2026)

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Datadog

Amazon CloudWatch

Overview

Datadog's Security Platform delivers real-time threat detection and continuous configuration audits across apps, hosts, containers, and cloud infrastructure. Easily detect changes in your containerized environment that may leave your applications vulnerable with Datadog's detection rules.

Amazon CloudWatch is a vulnerability management software designed to help DevOps engineers, IT managers, and site reliability engineers (SREs) observe and manage AWS resources. Administrators can gain insights into operational data to visualize logs and utilize machine learning algorithms to detect anomalous behavior across environments.

Platforms supported

Web-based
iPhone app
Android app
Windows Phone app

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Customer support

Phone
Online
Knowledge base
Video tutorials

view more detailsview details

Platforms supported

Web-based
iPhone app
Android app
Windows Phone app

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Customer support

Phone
Online
Knowledge base
Video tutorials

view more detailsview details

Video & Screenshots

Pricing

Starting from

Per month

Free trial available
Credit cardless trial
Free account
Subscription based

Starting from

Free

Free trial available
Credit cardless trial
Free account
Subscription based

User reviews

4.6

369

228

128

Value for money

Ease of use

Features

Customer support

79%

would recommend this app

4.5

Value for money

Ease of use

Features

Customer support

81%

would recommend this app

Pros

“Only a few minutes are required to setup the monitoring agents and we have pre-built integrations for cloud infrastructure that help our IT team to save a lot of manual configuration time.”

Elizabeth A.

Systems Adninistrator

“It replaced stitching together separate metrics, logs, and tracing tools with one correlated platform, which shortened incident resolution and gave the team much better visibility into production.”

Kaynan S.

Software Engineer

“Log searching andd data analysis are the strongpoints of Datadog - you can take an insane amount of data, and distill it quickly.”

Drew L.

SR SYS Admin

Pros

“Great tool to use to have default metrics for all aws resources and also flexibility to create custom metrics.”

Vatsal K.

Software Engineer

“Amazon CloudWatch servers as useful and convenient cloud based service which helps users in the AWS environment to collect and monitor log files and other files. Besides giving a comprehensive view on the number of errors and delivering alarms when certain thresholds are exceeded.”

Mateja W.

Consultant

“Amazon CloudWatch is an essential tool for monitoring cloud infrastructure, and it integrates seamlessly with AWS services. While it requires some learning upfront, its robust features make it worth the effort.”

Walaa A.

Health

Cons

“Pricing is the big drawback: costs can climb quickly and unpredictably as you add hosts, custom metrics, and log ingestion, so you have to actively manage what you send.”

Kaynan S.

Software Engineer

“The sheer volume of features can also feel overwhelming at first, making it hard to know where to start without proper onboarding or documentation.”

Rakhi V.

QA Lead

“The consequences can include loss of information (due to the developer interpreting the stakeholder's need / wish differently) or confusion (the developer having a tech focused mindset and language while the stakeholders do not)”

Jory S.

Frontend architect

Cons

“There is a function, "Search all log streams" in Log events and when I type some strings in search bar, it always show nothing in results even though logs has that strings.”

Jitae K.

Sr.Devops

“Some features also have a learning curve when new to AWS, and it's easy to lose track of log retention and costs if they aren't managed carefully.”

Hrithik V.

Software Engineer - Trading Systems

“Some users find Amazon CloudWatch's complexity and cost management challenging, particularly when dealing with high-volume metric and log data, which can lead to increased expenses and require careful optimization.”

Amaya A.

Teacher