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AWS X-Ray vs Stackify comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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
18th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
63rd
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
IT Infrastructure Monitoring (66th), Log Management (58th)
 

Mindshare comparison

As of May 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS X-Ray is 1.3%, down from 3.4% compared to the previous year. The mindshare of Stackify is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
AWS X-Ray1.3%
Stackify0.7%
Other98.0%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Allan Møller - PeerSpot reviewer
Consult Manager at Conscia
Provides quick insights into service interactions and identifies bottlenecks effortlessly
The challenges we faced with AWS X-Ray were that some of the AWS services we were using did not support it, which we discovered at a later stage. This was potentially a design consideration we should have known about, requiring us to redeploy some services in another SKU version to get it functioning. This is the only challenge, as AWS X-Ray is relatively new. It is important to consider that not all AWS services support it out of the box. My recommendation for AWS X-Ray would be broader support. We have been working in a relatively small area of AWS, using approximately six or seven services, so I have not explored all other available services. In general, the more services it supports, the better it would be. AWS X-Ray should be able to support more services for improved functionality.
IE
Senior Software Engineer at a tech services company with 1,001-5,000 employees
Has good filtering and rating features and helps with resource and load management
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.

Quotes from Members

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

Pros

"The best feature of AWS X-Ray is the ability to correlate data out of the box, ensuring that if one service calls another service, it will provide a full flow of what has happened without needing to build or develop anything around it."
"AWS X-Ray is a strong solution and has a smooth integration process."
"The error analysis capabilities of X-Ray are really good."
"AWS X-RAY identifies bottlenecks in terms of stability and performance and how long certain data lives in terms of response time and duration."
"The most promising feature of AWS X-Ray is that you can debug the issues through the proper logs. You can also get an analysis out of the logs for some use cases, though I have yet to try all the features of AWS X-Ray."
"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."
"It is a very scalable solution."
"AWS X-Ray's endpoints and user monitoring are considered the most valuable features."
"The performance dashboard and the accurate level of details are beneficial."
"We switched from New Relic and Loggly as it provides us more info at a lower price."
"My advice to anyone who wants to use Stackify is to go for it because my experience with it is good."
"The solution is stable and reliable."
"What stood out to us were the metrics and granular details we received."
"The deployment is very fast."
"The solution is stable and reliable."
"It is very simple and very easy to configure."
 

Cons

"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"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."
"AWS X-Ray should improve its implementation process to make it easier for developers."
"If you have a small team, it's probably overkill."
"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."
"Compared to other open-source tools, AWS X-Ray needs improvement in providing discounts."
"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."
"The search feature could be improved."
"It's not easy to set up. It's hard especially for juniors to understand."
"Another improvement would be the agent memory utilization, which led to our recent reevaluation."
"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."
"One thing that happens as a new user on Stackify is when you install the agent it pulls everything and if you're not careful, your log allowance will just be exhausted as you are actually pulling too much data."
"Better mobile support."
"I would like to be able to see metrics about individual running containers on the host machines."
 

Pricing and Cost Advice

"The pricing for AWS X-Ray is a six out of ten."
"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 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
15%
Computer Software Company
12%
Comms Service Provider
9%
Manufacturing Company
7%
Construction Company
19%
Comms Service Provider
15%
Media Company
9%
Performing Arts
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Large Enterprise3
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

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...
What needs improvement with AWS X-Ray?
The challenges we faced with AWS X-Ray were that some of the AWS services we were using did not support it, which we discovered at a later stage. This was potentially a design consideration we shou...
What is your primary use case for AWS X-Ray?
I have been using AWS X-Ray for creating insights to our applications we have developed. It is used to correlate different services in AWS when a transaction happens, allowing us to see the flow of...
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Comparisons

 

Overview

 

Sample Customers

COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about AWS X-Ray vs. Stackify and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.