Amazon CloudWatch vs Datadog comparison

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Amazon CloudWatch

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Executive SummaryUpdated on Jan 25, 2026

Datadog and Amazon CloudWatch compete in the cloud monitoring and management category. Datadog appears to have the upper hand due to its extensive integrations and user-friendly features that appeal to non-technical users.

Features: Datadog offers centralized pipeline tracking, error logging, and real user monitoring, providing a robust toolkit for creating insights efficiently. Its dashboards are user-friendly, making data accessible even to non-technical users. Amazon CloudWatch excels with its integration with AWS services, providing reliable monitoring capabilities tailored for AWS-native applications. Automated monitoring and notifications are its key strengths.

Room for Improvement: Datadog's complexity may overwhelm new users, and transparency in pricing is a concern, with better cost control and AI-driven insights suggested as improvements. Amazon CloudWatch needs enhanced documentation and better third-party integrations. Users find its visualization capabilities needing improvement and suggest a more intuitive interface.

Ease of Deployment and Customer Service: Datadog benefits from proactive customer service and flexible cloud environment deployment, though support response can be slow. Amazon CloudWatch integrates seamlessly with AWS, easing deployment in AWS environments but presents challenges outside of it. Its UI is less intuitive than Datadog's, despite good AWS support.

Pricing and ROI: Datadog is known for high pricing, especially for smaller businesses, offering significant ROI through efficiency and time savings, with a usage-based model that necessitates careful cost monitoring. Amazon CloudWatch provides more affordable pricing for AWS users with a pay-as-you-go model that can escalate with extensive use, ensuring a cost-effective option for AWS-integrated businesses.

To learn more, read our detailed Amazon CloudWatch vs. Datadog Report (Updated: November 2026).

Amazon CloudWatch vs. Datadog

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

7.0

Amazon CloudWatch enhances ROI by automating monitoring, reducing staffing costs, and improving developer productivity with centralized dashboards.

Sentiment score

6.4

Datadog improves efficiency by reducing response time, optimizing resources, enhancing reliability, and saving costs through better infrastructure monitoring.

Automated alerts, centralized dashboards, and log analysis reduce troubleshooting time, improve incident response, and minimize manual monitoring.

Engineer Technology at Iris Software Technologies Private Limited

Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.

For more quotes and insights, download the Amazon CloudWatch report

Digital Services & Engagement Senior Manager at AXA

Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.

Prakash Pandey

IT Manager at Liberty Mutual Insurance

Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.

reviewer2767362

Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees

We have also seen fewer escalations for minor issues because alerts help us catch problems earlier, which indirectly reduces downtime and improves overall efficiency.

SurajYadav

Network Security Consultant at NTT DATA

For more quotes and insights, download the Datadog report

Customer Service

Sentiment score

7.5

Amazon CloudWatch support is praised for responsiveness and expertise, though resolution speed varies with support tiers and engineer quality.

Sentiment score

6.7

Datadog's customer service is generally reliable and efficient, with recent improvements noted, despite occasional delays and communication issues.

In recent years, due to business expansion, knowledge levels among support engineers seem to vary.

Digital Services & Engagement Senior Manager at AXA

While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.

S K Mishra

founder, ceo at Techrev Solutions Pvt Ltd

Customer support for Amazon CloudWatch has been excellent.

For more quotes and insights, download the Amazon CloudWatch report

Engineer Technology at Iris Software Technologies Private Limited

When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.

Laurie Mordick

Applications Web Services Technical Engineer at Ace Hardware

Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.

Thomas Harrison

Systems Administrator at Townsquare Interactive

I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.

Nikki L.

Security Engineer at Invitation Homes

For more quotes and insights, download the Datadog report

Scalability Issues

Sentiment score

7.7

Amazon CloudWatch is praised for seamless scalability, efficient data handling, and stability, despite some cost concerns.

Sentiment score

7.5

Datadog excels in scalable performance and integration but requires careful ingestion cost management as environments grow.

It is already there as a managed service from AWS.

Azam S M

Infrastructure Lead at Danat Fz LLC

The scalability of Amazon CloudWatch is very good, providing high throughput and auto-managing applications alongside auto-dashboard support.

Engineer Technology at Iris Software Technologies Private Limited

Amazon CloudWatch's scalability is managed by AWS.

For more quotes and insights, download the Amazon CloudWatch report

Digital Services & Engagement Senior Manager at AXA

Datadog's scalability has been great as it has been able to grow with our needs.

Prakash Pandey

IT Manager at Liberty Mutual Insurance

Since it is a SaaS platform, we did not have to worry about backend scaling.

SurajYadav

Network Security Consultant at NTT DATA

We have not faced any major performance issues from the platform side; it handles increased metrics and monitoring loads smoothly.

For more quotes and insights, download the Datadog report

Cyber Security Consultant at HR Software Solution

Stability Issues

Sentiment score

8.1

Amazon CloudWatch is highly reliable with minimal bugs, though minor delays and some query complexity are occasionally noted.

Sentiment score

8.0

Datadog is praised for stability and reliability, with rare, quickly-resolved issues, especially during peak traffic periods.

I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.

For more quotes and insights, download the Amazon CloudWatch report

Digital Services & Engagement Senior Manager at AXA

Metrics collection and alerting have been consistent in day-to-day use.

For more quotes and insights, download the Datadog report

Cyber Security Consultant at HR Software Solution

Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.

Nikki L.

Security Engineer at Invitation Homes

Datadog seems stable in my experience without any downtime or reliability issues.

Daniel Dolan

Full Stack Developer at Townsquare Interactive

Room For Improvement

Amazon CloudWatch users desire more intuitive dashboards, cost-effectiveness, better integration, and improved monitoring and scalability features.

Datadog needs better alert management, cost control, data representation, API consistency, integration, security, automation, navigation, and educational resources.

When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.

S K Mishra

founder, ceo at Techrev Solutions Pvt Ltd

We are in a process of integrating Grafana, Loki, and Prometheus to have better visualization on Amazon CloudWatch.

Azam S M

Infrastructure Lead at Danat Fz LLC

I wish to see simpler pricing, more intuitive dashboards, easier log queries for beginners, richer visualization options, and strong AI-assisted troubleshooting.

For more quotes and insights, download the Amazon CloudWatch report

Engineer Technology at Iris Software Technologies Private Limited

It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.

reviewer2767305

Operations Manager at a financial services firm with 1,001-5,000 employees

We want to be able to customize the cost part, and we would appreciate more granular access control.

Andrei Mita

Service Manager at PwC

Having more transparent and granular cost control features would make it easier to manage usage.

SurajYadav

Network Security Consultant at NTT DATA

For more quotes and insights, download the Datadog report

Setup Cost

Enterprise buyers report mixed experiences with Amazon CloudWatch pricing, ranging from affordable to expensive, depending on usage and integration.

Datadog offers scalable, usage-based pricing but requires careful monitoring to manage escalating costs and optimize feature utilization.

Overall, the pricing of Amazon CloudWatch is very expensive.

S K Mishra

founder, ceo at Techrev Solutions Pvt Ltd

Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.

Digital Services & Engagement Senior Manager at AXA

It was very easy to set up because it is built into AWS and does not require separate licensing, being billed based on usage.

For more quotes and insights, download the Amazon CloudWatch report

Engineer Technology at Iris Software Technologies Private Limited

The setup cost for Datadog is more than $100.

reviewer1599867

Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees

Pricing is mainly based on data ingestion, such as logs, metrics, and traces, and it can increase quickly if everything is enabled by default.

For more quotes and insights, download the Datadog report

Cyber Security Consultant at HR Software Solution

Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.

Laurie Mordick

Applications Web Services Technical Engineer at Ace Hardware

Valuable Features

Amazon CloudWatch offers real-time monitoring, comprehensive logging, AWS integration, and analytics with cost-effectiveness and detailed data insights.

Datadog enhances operational efficiency with unified visibility, integration, customizable dashboards, and comprehensive monitoring across cloud platforms.

We can quickly fix issues at the point of occurrence, and real-time metrics for microservices provide centralized logging and automated alerts that enable fast incident detection, quicker troubleshooting, and better application reliability.

Engineer Technology at Iris Software Technologies Private Limited

Amazon CloudWatch allows me to set up and view even historical logs, which is one of the features I find valuable.

For more quotes and insights, download the Amazon CloudWatch report

Digital Services & Engagement Senior Manager at AXA

If there is a CPU spike or system issues, we set alarms to notify us if the system is going down or not reachable.

Azam S M

Infrastructure Lead at Danat Fz LLC

Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.

Timothy Spangler

Senior Software Engineer at Los Angeles Times Communications, LLC

Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.

reviewer2767245

Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees

Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.

Nikki L.

Security Engineer at Invitation Homes

For more quotes and insights, download the Datadog report

Categories and Ranking

Amazon CloudWatch

Ranking in Application Performance Monitoring (APM) and Observability

24th

Ranking in Log Management

19th

Ranking in Cloud Monitoring Software

15th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Ranking in Application Performance Monitoring (APM) and Observability

3rd

Ranking in Log Management

4th

Ranking in Cloud Monitoring Software

1st

Average Rating

8.6

Reviews Sentiment

6.9

Number of Reviews

211

Ranking in other categories

Network Monitoring Software (9th), IT Infrastructure Monitoring (3rd), Container Monitoring (3rd), AIOps (2nd), Cloud Security Posture Management (CSPM) (8th), AI Observability (1st)

Mindshare comparison

As of November 2026, in the Cloud Monitoring Software category, the mindshare of Amazon CloudWatch is 1.7%, down from 2.4% compared to the previous year. The mindshare of Datadog is 5.3%, down from 8.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Monitoring Software Mindshare Distribution
Product	Mindshare (%)
Datadog	5.3%
Amazon CloudWatch	1.7%
Other	93.0%

Cloud Monitoring Software

Featured Reviews

Monitoring microservices has improved and teams respond faster to production incidents

Engineer Technology at Iris Software Technologies Private Limited

In my opinion, the best features Amazon CloudWatch offers are Metrics, Analytics, Logs, Alarms, Dashboards, and Log Insights, with standout features being real-time monitoring and centralized logging, proactive alerting, and fast troubleshooting. The dashboards in Amazon CloudWatch help with troubleshooting by allowing us to easily look into API latency and how much resource consumption is occurring. The CloudWatch dashboard provides real-time data and views of our application health while Log Insights lets us quickly search and analyze logs to identify root causes of production issues, making troubleshooting time efficient and monitoring much more streamlined. Amazon CloudWatch has positively impacted my organization by improving our ability to monitor production issues and easily find the root cause in the application. We can quickly fix issues at the point of occurrence, and real-time metrics for microservices provide centralized logging and automated alerts that enable fast incident detection, quicker troubleshooting, and better application reliability, ultimately reducing operational efforts by giving engineers a single platform for monitoring AWS resources and microservices. I have seen many positive outcomes in my organization, estimating that CloudWatch reduced troubleshooting time by around thirty to forty percent because engineers could correlate metrics and logging from a single platform. Early alerts also help us resolve many performance issues before they escalate into major incidents, contributing to improved service availability.

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Unified monitoring has improved incident response and now reduces root cause analysis time

Cyber Security Consultant at HR Software Solution

One area where Datadog can be improved is around alert quality. In the beginning, it tends to generate many alerts, and without proper tuning, many of them are not actionable. It would help if there were more built-in guidance or smarter defaults to reduce noise. Another improvement area is cost visibility and control. As log and metric ingestion increases, it has not always been straightforward to track which data is driving the cost. More granular and real-time cost insights would make it easier to manage. Additionally, while the dashboards are flexible, navigating and organizing them at scale can become slightly difficult. Better structuring or management options would help in larger environments.

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Outsourcing Company

Comms Service Provider

Financial Services Firm

13%

Manufacturing Company

10%

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	8
Large Enterprise	26

By reviewers
Company Size	Count
Small Business	81
Midsize Enterprise	50
Large Enterprise	100

Questions from the Community

What is your experience regarding pricing and costs for Amazon CloudWatch?

The experience with pricing, setup cost, and licensing for Amazon CloudWatch has been positive. It was very easy to set up because it is built into AWS and does not require separate licensing, bein...

What needs improvement with Amazon CloudWatch?

For improvements, I think Amazon CloudWatch could enhance certain areas, particularly regarding pricing structure. I wish to see simpler pricing, more intuitive dashboards, easier log queries for b...

What is your primary use case for Amazon CloudWatch?

My main use case for Amazon CloudWatch is the monitoring and analytics of the application servers. I basically use Amazon CloudWatch to monitor the microservices and AWS infrastructure, helping me ...

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

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Product Reports

Amazon CloudWatch

Download Amazon CloudWatch product report

Download Datadog product report

Overview

Amazon CloudWatch offers centralized logging, real-time monitoring, and integration with AWS services, assisting organizations in improving operational efficiency and reducing troubleshooting time.

Amazon CloudWatch provides a comprehensive monitoring solution that includes dashboards, alerts, and detailed reporting to analyze server and application performance. Its user-friendly interface supports AWS services monitoring through integration with resources like EC2, S3, and Lambda. However, improvements can be made in customization, dashboard design, and integration with third-party tools.

What are Amazon CloudWatch's key features?

Ease of Use: Simplifies monitoring and logging with a user-friendly interface.
Centralized Logging: Collects logs from applications and AWS resources for comprehensive analysis.
Real-time Monitoring: Provides real-time insights into AWS services and applications.
Integration with AWS: Seamlessly works with AWS resources such as EC2, S3, and Lambda.
Dashboards and Alerts: Customizable dashboards and proactive alerting to quickly identify issues.

What benefits should users look for?

Operational Efficiency: Reduces troubleshooting time through detailed monitoring and alerting.
Scalability: Adapts to growing infrastructural needs without compromising performance.
Stability: Delivers a reliable and consistent monitoring experience across AWS environments.
Data Analytics: Offers advanced analytics to understand application and infrastructure performance.

Amazon CloudWatch is widely implemented across industries to monitor essential metrics like CPU and memory utilization. Companies rely on its capabilities for anomaly detection, incident response, and performance checks, making it indispensable for automated monitoring in AWS environments.

Amazon Web Services (AWS)

Datadog offers a comprehensive platform for monitoring applications and infrastructure, providing insights into real-time metrics and optimizing performance with extensive integrations and analytics capabilities.

Datadog provides a robust monitoring platform designed for applications and infrastructure tracking. With intuitive dashboards and real-time metrics visibility, it enhances operational efficiency and enables proactive incident management. The platform supports data centralization across services, reducing downtime through its monitoring capabilities. Integration with AWS, Kubernetes, and other systems aligns with performance tracking and infrastructure management, while APM and RUM features allow tracing and user behavior analytics.

What are Datadog's Key Features?

Intuitive Interface: Simplifies monitoring processes with user-friendly design.
Extensive Integrations: Offers seamless integration with platforms like AWS and Kubernetes.
Real-Time Metrics: Ensures up-to-the-minute visibility of performance data.
APM and RUM: Enhances tracing and analysis of user behavior.
Customizable Monitoring: Personalizes tracking and alerts based on specific requirements.

What Benefits Should You Look for in Reviews?

Operational Efficiency: Improves performance and incident management through data centralization.
Proactive Incident Management: Reduces downtime with timely alerts and insights.
Integration Flexibility: Utilizes cloud services to ensure comprehensive observability.
Dashboard Visualization: Offers enhanced interface for data representation.

Industries utilizing Datadog benefit from detailed monitoring and comprehensive analytics across multi-cloud environments. Companies in e-commerce, finance, and technology sectors implement it for end-to-end monitoring ensuring robust application performance. The platform assists in maintaining standards through integration with services like AWS and Azure, providing efficient observability and allowing proactive issue resolution.

Sample Customers

AirAsia, Airbnb, Aircel, APUS, Avazu, Casa & Video, Futbol Club Barcelona (FCBarcelona), National Taiwan University, redBus

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

Amazon CloudWatch vs. Datadog