Compare AWS X-Ray vs. Stackify

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AWS X-Ray Logo
2,036 views|1,929 comparisons
Stackify Logo
834 views|752 comparisons
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Questions from the Community
Top Answer: 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.
Top Answer: I don't have any information in regards to licensing. I'm not on the DevOps team and typically they are the ones that handle it. It's not an aspect of the solution I'm familiar with.
Top Answer: The user interface is sometimes kind of confusing to understand. It's not very user-friendly. They should work to improve this aspect of the product. It should be easier to navigate. While the… more »
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Ranking
Views
2,036
Comparisons
1,929
Reviews
1
Average Words per Review
665
Rating
7.0
Views
834
Comparisons
752
Reviews
0
Average Words per Review
0
Rating
N/A
Popular Comparisons
Compared 32% of the time.
Compared 21% of the time.
Compared 15% of the time.
Compared 12% of the time.
Compared 11% of the time.
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Overview

AWS X-Ray helps developers analyze and debug production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. You can use X-Ray to analyze both applications in development and in production, from simple three-tier applications to complex microservices applications consisting of thousands of services.

After one too many unexpected late night code fires, we went searching for a set of application performance management tools to help us put an end to it. What we found told us what was broken, but lacked the ability to tell us why our applications failed, or how to maintain them and prevent the potential dumpster fire. So, we built Retrace to do exactly that. From pre-production to deployment, it is our belief that when our 1300+ customers spend less time fighting technology they spend more time releasing it, and those new applications make the world a better place for all of us.

Stackify Retrace provides application performance management across your entire stack. Coupled with aggregated logs from common logging frameworks, find every exception in your code. Retrace your code with lightweight code profiling and track and monitor all key application and server metrics.

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Sample Customers
COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Top Industries
VISITORS READING REVIEWS
Computer Software Company27%
Media Company17%
Comms Service Provider17%
Financial Services Firm12%
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider22%
Media Company8%
Healthcare Company6%
Find out what your peers are saying about Dynatrace, Datadog, AppDynamics and others in Application Performance Management (APM). Updated: April 2021.
501,151 professionals have used our research since 2012.

AWS X-Ray is ranked 28th in Application Performance Management (APM) with 1 review while Stackify is ranked 44th in Application Performance Management (APM). AWS X-Ray is rated 7.0, while Stackify is rated 0.0. The top reviewer of AWS X-Ray writes "Scalable and good for tracing problems, but hard to configure". On the other hand, AWS X-Ray is most compared with Datadog, New Relic APM, Dynatrace, Azure Monitor and Google Stackdriver, whereas Stackify is most compared with Dynatrace, ELK Logstash, New Relic APM, Graylog and Splunk.

See our list of best Application Performance Management (APM) vendors.

We monitor all Application Performance Management (APM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.