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Amazon CloudWatch vs Lumigo comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Amazon CloudWatch
Ranking in Application Performance Monitoring (APM) and Observability
24th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
49
Ranking in other categories
Log Management (19th), Cloud Monitoring Software (15th)
Lumigo
Ranking in Application Performance Monitoring (APM) and Observability
55th
Average Rating
8.6
Reviews Sentiment
8.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon CloudWatch is 0.9%, down from 1.6% compared to the previous year. The mindshare of Lumigo is 0.3%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Amazon CloudWatch0.9%
Lumigo0.3%
Other98.8%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Amandeep Pawar - PeerSpot reviewer
Engineer Technology at Iris Software Technologies Private Limited
Monitoring microservices has improved and teams respond faster to production incidents
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.
Vinay Lal - PeerSpot reviewer
Head of Testing & AVP at Flash AI
Distributed tracing has transformed our testing workflows and now uncovers hidden failures fast
The best features Lumigo offers include the live stream architecture and transaction mapping, which helps to automatically generate and update the visual execution topology for every single test transaction. After seeing the exact flow from the edge API through intermediate queues and containerized microservices down to managed storage, it gives our QA engineers instant context. Additionally, I love the request-response payload inspection feature, which captures input and output parameters, request headers, and invocation payload safely. When an automated integration test fails, the exact offending payload is visible right inside the trace, helping to save our QA and engineering teams a lot of time, leading to at least a 48.33% drop in wasted time previously spent finding the root cause. With automation saved, automated root cause correlation has helped to correlate logs, metrics, and trace spans across asynchronous boundaries, which is notoriously difficult to debug in event-driven AI pipelines. The live stream architecture and transaction mapping make such a difference for my team, as it generates updates regularly via visual execution and the topology for every single test transaction, providing us with a view through intermediate queues and microservices to managed storage, giving engineers instant context of transactions and payloads, which saves at least 49% of our time and allows overall resources to be used more effectively. Regarding Lumigo's AI capabilities, I find the governance of security to be really good, and we have seen a positive impact due to the AI capabilities alongside strict compliance regulations such as SOC 2 and ISO 27001, proving it is compliant with applicable regulations and policies. Lumigo's accuracy is close to 100%, making it very reliable. Lumigo integrates seamlessly with other AWS services we use, and we have not faced any issues.

Quotes from Members

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

Pros

"The product can be integrated with AWS very easily."
"The product helps us collect and store various metrics to set test alarms."
"The monitoring features are valuable."
"The scalability of Amazon CloudWatch rates as high scalability, scoring a perfect ten."
"The solution offers very detailed metrics for their services."
"The most valuable feature of Amazon CloudWatch is reliability."
"I can put it in a simple term, its simplicity is always there."
"In Amazon CloudWatch, I found their data analytics services most valuable."
"Any new member, whether from the development side or business team, finds the user-friendly UI easy to understand."
"Lumigo has positively impacted our organization with transformative ROI for our quality engineering and delivery cycles, where the meantime to defect and resolve due to debugging failed end-to-end integration test runs has dropped over 68.3%."
 

Cons

"For improvements, I think Amazon CloudWatch could enhance certain areas, particularly regarding pricing structure."
"The integration with third-party tools must be made easier."
"Even though the product works well with most AWS, it is a nightmare to use with Snowflake."
"The solution's pricing is a bit higher."
"The solution should provide human-readable metrics."
"When connecting to Google Cloud, there is no visibility or traceability from Google Cloud into CloudWatch."
"We'd like the interface to be as easy as Datadog."
"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."
"I think support needs to be improved."
 

Pricing and Cost Advice

"The price is okay for me."
"I consider it as a medium-priced solution."
"It’s an open-source solution."
"The price of Amazon CloudWatch is reasonable for detailed basic monitoring."
"The product's cost is relatively inexpensive."
"We have monthly licensing costs. The licenses are probably in the vicinity of about $300 - $350/month."
"Amazon CloudWatch has very cheap pricing, and it hardly costs my company $25-$30 a month for fifty systems, so it's pretty affordable."
"The price of Amazon CloudWatch is reasonable. When the rate of data collection is done the price will increase. The price is less than other solutions."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Outsourcing Company
8%
Comms Service Provider
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise8
Large Enterprise26
No data available
 

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 ...
What is your experience regarding pricing and costs for Lumigo?
My experience with pricing, setup cost, and licensing was good, and I rate it ten out of ten.
What needs improvement with Lumigo?
I think support needs to be improved. Lumigo can be improved particularly in support. When comparing it with AWS monitoring, Dynatrace, or other solutions, if we encounter any trouble, everyone loo...
What is your primary use case for Lumigo?
My main use case for Lumigo is microservice monitoring in my day-to-day experience. A specific example of how I use Lumigo for microservice monitoring involves comparing it to other tools such as D...
 

Overview

 

Sample Customers

AirAsia, Airbnb, Aircel, APUS, Avazu, Casa & Video, Futbol Club Barcelona (FCBarcelona), National Taiwan University, redBus
Information Not Available
Find out what your peers are saying about Splunk, Dynatrace, Datadog and others in Application Performance Monitoring (APM) and Observability. Updated: October 2026.
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