Amazon CloudWatch vs Stackify comparison

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Amazon CloudWatch

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Executive SummaryUpdated on Oct 9, 2024

Stackify and Amazon CloudWatch compete in the monitoring solutions category. While both offer robust features, Amazon CloudWatch appears to have the upper hand due to its extensive AWS integrations, making it a preferred choice for users heavily invested in AWS infrastructure.

Features: Stackify is known for its user-friendly integration, efficient log management, and easy setup. Amazon CloudWatch specializes in its comprehensive AWS integration, extensive monitoring capabilities, and advanced features that cater to users needing deep AWS oversight.

Room for Improvement: Stackify could enhance its reporting, scalability, and handling of large environments. Amazon CloudWatch may need improvements in simplifying its complex setup, reducing high-volume alerting, and making it more accessible for new users.

Ease of Deployment and Customer Service: Stackify is praised for quick deployments and responsive customer service, suitable for various user levels. Amazon CloudWatch is seen as complex in deployment but is supported by extensive AWS documentation and assistance channels.

Pricing and ROI: Stackify is favored for its competitive pricing and suitable ROI for smaller to medium-sized organizations. Amazon CloudWatch, though more expensive, is seen as worth the investment due to its advanced features and seamless AWS service integration.

To learn more, read our detailed Amazon CloudWatch vs. Stackify Report (Updated: December 2025).

Amazon CloudWatch vs. Stackify

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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:

Categories and Ranking

Amazon CloudWatch

Ranking in Application Performance Monitoring (APM) and Observability

13th

Ranking in Log Management

14th

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Cloud Monitoring Software (11th)

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

59th

Ranking in Log Management

56th

Average Rating

7.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (59th)

Mindshare comparison

As of December 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon CloudWatch is 1.5%, up from 1.4% compared to the previous year. The mindshare of Stackify is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Amazon CloudWatch	1.5%
Stackify	0.5%
Other	98.0%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Azam S M

Infrastructure Lead at Danat Fz LLC

Has provided reliable monitoring and alerting through extensive metric tracking and dashboard configuration

Amazon CloudWatch itself provides a lot of data. However, for visualization, we need to use third-party tools. We are in a process of integrating Grafana, Loki, and Prometheus to have better visualization on Amazon CloudWatch. We are also integrating Grafana with the application itself to get the application data and logs. Alternatively, there is AWS Kinesis and Glue where you can scrape the logs and have visualization, but a more easy option is Grafana. If you want to get a proper visual representation to see what is happening, then you need to integrate a third-party tool. Amazon CloudWatch has all the data, but to see what is happening, you need some third-party tool.

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Moses Arigbede

Head of DevOps at Partsimony

Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure

They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

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Quotes from Members

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

Pros

"The solution effectively monitors golden signals like CPU, page requests, and queues."

"The solution offers very detailed metrics for their services."

"I can put it in a simple term, its simplicity is always there."

"The scalability of Amazon CloudWatch rates as high scalability, scoring a perfect ten."

"It is a stable solution...I rate the technical support a ten out of ten."

"The most valuable feature of Amazon CloudWatch is reliability."

"It's useful to analyze past data and compare it with recent activities."

"Our team finds it overall quite useful."

More Amazon CloudWatch pros

"The deployment is very fast."

"The performance dashboard and the accurate level of details are beneficial."

"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."

"The solution is stable and reliable."

Cons

"Improvement of SSSD logs would be beneficial."

"Right now, in relation to monitoring services, there are too many services and too many metrics per service."

"Amazon CloudWatch has all the data, but to see what is happening, you need some third-party tool."

"Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage."

"It would be beneficial for CloudWatch to provide an API interface and some kind of custom configuration."

"There is room for improvement in terms of stability."

"We'd like the interface to be as easy as Datadog."

"CloudWatch's scalability could be improved."

More Amazon CloudWatch cons

"The search feature could be improved."

"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."

"I would like to be able to see metrics about individual running containers on the host machines."

"It should be easily scalable and configurable in different instances."

Pricing and Cost Advice

"The tool is not expensive."

"The solution is expensive."

"The product's cost is relatively inexpensive."

"The pricing is average."

"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."

"The price is okay for me."

"The price of Amazon CloudWatch is reasonable for detailed basic monitoring."

"It’s an open-source solution."

More Amazon CloudWatch pricing and cost advice

"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

10%

Manufacturing Company

10%

Transportation Company

Comms Service Provider

11%

Media Company

11%

Insurance Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	9
Large Enterprise	24

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	2

Questions from the Community

What do you like most about Amazon CloudWatch?

The monitoring features are valuable.

See all answers

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

No specific setup costs were mentioned.

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What needs improvement with Amazon CloudWatch?

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Comparisons

Grafana Loki vs Amazon CloudWatch

Compared 18% of the time

Amazon OpenSearch Service vs Amazon CloudWatch

Compared 9% of the time

Zabbix vs Amazon CloudWatch

Compared 7% of the time

Dynatrace vs Amazon CloudWatch

Compared 6% of the time

Datadog vs Amazon CloudWatch

Compared 5% of the time

More Amazon CloudWatch Competitors

New Relic vs Stackify

Compared 19% of the time

DX Spectrum vs Stackify

Compared 8% of the time

Splunk Enterprise Security vs Stackify

Compared 8% of the time

Dynatrace vs Stackify

Compared 8% of the time

Datadog vs Stackify

Compared 7% of the time

More Stackify Competitors

Product Reports

Amazon CloudWatch

Download Amazon CloudWatch product report

Download Stackify product report

Overview

Amazon CloudWatch integrates seamlessly with AWS, providing real-time monitoring and alerting features. Its interface supports task automation, enhancing troubleshooting and analytics capabilities, while offering strong security and scalability at a cost-effective rate.

Amazon CloudWatch is an impactful platform for monitoring AWS resources and managing application performance. It simplifies infrastructure performance monitoring by providing comprehensive analytics capabilities, including application insights and event scheduling. Users appreciate CloudWatch for its detailed metrics, dashboards, and support in issuing alerts to detect anomalies. It efficiently tracks performance, optimizes resource utilization, and ensures service availability. CloudWatch is recognized for its robust alerting features and integration with other AWS services, further supporting its resource monitoring capabilities. However, there is room for improvement in dashboard customization, log streaming speed, and integration with non-AWS services. Enhancements in API integration, machine learning features, and support for third-party tools are also desired.

What features does Amazon CloudWatch offer?

Seamless Integration: Works effortlessly with AWS for cohesive service management.
Advanced Metrics: Provides detailed monitoring of CPU, memory, and more.
Real-time Monitoring: Offers up-to-the-minute alerts on infrastructure status.
Dashboards: User-friendly and informative for quick insights.
Automation: Supports task automation for efficient troubleshooting.

What benefits does Amazon CloudWatch provide?

Cost-effectiveness: Efficient resource monitoring without high costs.
Scalability: Easily adapts to growing infrastructure needs.
Security: Strong protocols for safe monitoring activities.
Improved Performance: Enhances application insights and operational efficiency.
Operational Insights: Provides comprehensive logging and performance analysis.

Industries implementing Amazon CloudWatch often focus on optimizing IT infrastructure. Companies in sectors like finance and e-commerce rely on its monitoring and alerting capabilities to ensure service uptime and performance. The platform's automation and analytics features empower teams to proactively manage performance and detect potential issues promptly.

Amazon Web Services (AWS)

Stackify is an application performance management (APM) solution that combines application performance monitoring with logs, errors, and reporting. It is a SaaS solution that is developer-focused. Users can quickly scan, identify, and repair issues with applications. Stackify APM offers valuable tools, such as Prefix and Retrace, which help to make it a comprehensive and valuable APM solution. Stackify is now part of the Netreo family of IT Infrastructure Management (ITIM), which is considered one of the fastest-growing IT organizations in the marketplace today.

Stackify Prefix

Stackify Prefix helps developers write better code, faster. The tool examines, tests, and approves code as it is being written. Almost every new application is code-perfect, negating the need for exhausting troubleshooting and frustrating time-consuming code review.

Prefix is able to discover poor-performing SQL queries, ORM queries, potential bottlenecks, and concealed exceptions prior to moving the application into production.

Prefix offers Summary Dashboards, intuitive suggestions, integrated logs, and distributed tracing. Distributed tracing expands visibility to cloud-native applications, microservices, and containers and can also provide additional transparency to cache services, web services, third-party services, and more. Users are able to easily move from logs to traces and back.

This valuable tool ensures developers are able to consistently release the best code possible in the least amount of time, while improving performance, productivity, and profitability.

Prefix is a very robust and easy-to-use tool. It can be used seamlessly with Linux, macOS, and Windows. Prefix integrates well with numerous languages, such as Java, Python, Ruby, PHP, Node.js, .Net, and .Net Core.

Stackify Retrace

Stackify Retrace is a user-friendly, trusted APM solution used in more than fifty countries worldwide. Users know that Retrace is able to ensure they can complete quicker, more efficient application development and consistently enhance overall application performance by suggesting important intuitive suggestions users need.

This solution is beneficial to both developers (Dev) and operations (Ops) personnel to learn to improve code and immediately finetune issues by:

Establishing effortless collaboration between Dev and Ops personnel via an easy-to-use GUI dashboard.
Delivering complete transparency of all stages of the application development process, from pre-development to production.
Utilizing performance protocols, such as error tracking, application logs, and code profiling, in real time in order to thoroughly understand how long a code will take to complete various tasks.
Improving overall efficiency and productivity by immediately discovering and repairing application issues.

Retrace Real User Monitoring (RUM) uses both front-end and back-end monitoring to give users a complete picture of what is going on with the applications. This intuitive dashboard displays performance with a complete breakdown of resource usage and integrates the server-side and client traces into one engaging, user-friendly, extensive view.

Retrace is an out-of-the-box solution that works seamlessly with Java stacks, PHP, Node.js, Ruby, Python, .Net, and .Net Core. It is also compatible with many of today’s popular frameworks, such as AWS, Azure, Elasticsearch, MongoDB, MySQL, Oracle, PostgreSQL, Redis, and SQL Server. Additionally, Retrace will work effectively with many cloud providers, containers, and languages, and offers excellent and easy integration with today's favorite tools such as Jira, Slack, Jenkins, and more.

Sample Customers

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

MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion

Amazon CloudWatch vs. Stackify