AWS X-Ray vs Stackify comparison

Amazon Web Services (AWS) and Stackify are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #16 with an average rating of 7.2, while Stackify is ranked #60. Amazon Web Services (AWS) holds a 3.2% mindshare in APM, compared to Stackify’s 0.2% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 71% of Stackify users who would recommend it.

AWS X-Ray

Read 10 AWS X-Ray reviews

5,595 Views
4,087 Comparison Views

90% willing to recommend

Stackify

Read 6 Stackify reviews

480 Views
276 Comparison Views

71% willing to recommend

AWS X-Ray

Stackify

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

Stackify and AWS X-Ray are both prominent tools in APM and cloud-native monitoring, but AWS X-Ray is preferred for its superior features.

Features: Stackify is praised for log management, error tracking, and real-time alerting. AWS X-Ray is favored for its comprehensive tracing capabilities, detailed performance analysis, and deep integration with other AWS services.

Room for Improvement: Stackify users seek better integration options, enhanced metrics visualization, and improved scalability. AWS X-Ray reviewers want better documentation, easier setup processes, and more intuitive user interfaces.

Ease of Deployment and Customer Service: Stackify has a more straightforward deployment process and responsive customer support. AWS X-Ray’s deployment is more complex, though users find its support adequate.

Pricing and ROI: Stackify is noted for its cost-effectiveness and faster ROI, while AWS X-Ray, though pricier, is deemed to offer value through its advanced features.

To learn more, read our detailed AWS X-Ray vs. Stackify Report (Updated: June 2025).

Buyer's Guide

AWS X-Ray vs. Stackify

June 2025

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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

AWS X-Ray

Ranking in Application Performance Monitoring (APM) and Observability

16th

Average Rating

7.8

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Stackify

Ranking in Application Performance Monitoring (APM) and Observability

60th

Average Rating

7.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (58th), Log Management (64th)

Mindshare comparison

As of June 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS X-Ray is 3.2%, down from 3.4% compared to the previous year. The mindshare of Stackify is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

Featured Reviews

Muhmad Tabrez A Deewanji

Lead Software Engineer at a tech services company with 1,001-5,000 employees

Improving performance through efficient trace metrics and data insights

As an application developer and architect, I appreciate AWS X-Ray ( /products/aws-x-ray-reviews ) for checking latency and identifying bottlenecks. I use it for performance tuning, conducting performance testing on applications, getting real-time traces, and gaining data insights. It helps in improving throughput and tuning infrastructure. The trace metrics and data collected provide valuable insights.

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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

"AWS X-Ray's endpoints and user monitoring are considered the most valuable features."

"It is a very scalable solution."

"I would give AWS X-Ray a nine out of ten overall."

"The error analysis capabilities of X-Ray are really good."

"The solution has made it easier for us to trace the problems that we have with our requests and to monitor the timing of each step in each request we do in our endpoints."

"AWS X-Ray is a strong solution and has a smooth integration process."

"The most beneficial feature is that it shows a dashboard for performance intervals, which reveals latencies."

"AWS X-Ray shows us exactly when there are delays, helping us understand the depth of issues and what is happening point-to-point."

More AWS X-Ray pros

"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 deployment is very fast."

"The solution is stable and reliable."

Cons

"If you have a small team, it's probably overkill."

"AWS X-Ray should improve its implementation process to make it easier for developers."

"Compared to other open-source tools, AWS X-Ray needs improvement in providing discounts."

"I do not have any notes in terms of improvements."

"It should have X-Ray SDKs for different languages like Node.js, Python, or Java."

"They can improve how traces are sent to other providers."

"What needs to be better in AWS X-Ray is the log filtering. Predefined filters could be helpful because the power of analytics comes from how you can filter the data. I also want to see more KPIs from AWS X-Ray."

"A significant downside is that it is very expensive."

More AWS X-Ray cons

"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."

"The search feature could be improved."

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

Pricing and Cost Advice

"As you develop a relationship with Amazon, your pricing gets lower. You get credits for the amount of the system you use, and then if you're the government, you can get government pricing. For commercial users, there's a hump when you go from small to medium to big enterprise. Small businesses can live pretty easily off the free tier in a lot of cases, but when you go from a medium to a big enterprise, it becomes more expensive on a per-user basis. I'd like to see that curve going in a different way where pricing can be driven down while people are trying to adopt the technology."

"The pricing for AWS X-Ray is a six out of ten."

"The solution is a bit expensive."

"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

17%

Computer Software Company

17%

Manufacturing Company

Comms Service Provider

Financial Services Firm

19%

Computer Software Company

18%

Manufacturing Company

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about AWS X-Ray?

AWS X-Ray is a strong solution and has a smooth integration process.

See all answers

What is your experience regarding pricing and costs for AWS X-Ray?

While I have not compared it with GCP or Azure ( /products/microsoft-azure-reviews ), AWS generally offers cost-effective services. Some services, like Athena ( /products/odyssey-software-athena-eo...

See all answers

What needs improvement with AWS X-Ray?

AWS X-Ray should improve its implementation process to make it easier for developers. The current manual instrumentation is challenging compared to the almost automatic instrumentation of other pro...

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Compared 41% of the time

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Compared 40% of the time

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Compared 19% of the time

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Product Reports

Buyer's Guide

AWS X-Ray

June 2025

Download AWS X-Ray product report

Buyer's Guide

Stackify

May 2025

Download Stackify product report

Overview

AWS X-Ray is a powerful debugging and performance analysis tool offered by Amazon Web Services. It allows developers to trace requests made to their applications and identify bottlenecks and issues.

With X-Ray, developers can visualize the entire request flow and pinpoint the exact location where errors occur. It provides detailed insights into the performance of individual components and helps optimize the overall application performance.

X-Ray integrates seamlessly with other AWS services, making it easy to trace requests across different services and identify dependencies. It also offers a comprehensive set of APIs and SDKs, enabling developers to instrument their applications and capture valuable data for analysis. With its user-friendly interface and powerful features, AWS X-Ray is a valuable tool for developers looking to improve the performance and reliability of their applications.

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.

Stackify

Sample Customers

COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow

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

Buyer's Guide

AWS X-Ray vs. Stackify

June 2025

Free Report: AWS X-Ray vs. Stackify

Find out what your peers are saying about AWS X-Ray vs. Stackify and other solutions. Updated: June 2025.

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