Apache SkyWalking vs Stackify comparison

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71% willing to recommend

Apache SkyWalking

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Executive Summary

We performed a comparison between Apache SkyWalking and Stackify based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Apache SkyWalking vs. Stackify Report (Updated: April 2026).

Apache SkyWalking vs. Stackify

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Helped 894,738 peers since 2012

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

Apache SkyWalking

Ranking in Application Performance Monitoring (APM) and Observability

33rd

Average Rating

8.4

Reviews Sentiment

4.4

Number of Reviews

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

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 Apache SkyWalking is 0.6%, down from 0.7% 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
Product	Mindshare (%)
Apache SkyWalking	0.6%
Stackify	0.7%
Other	98.7%

Application Performance Monitoring (APM) and Observability

Featured Reviews

reviewer2784462

Software Engineer at a tech vendor with 10,001+ employees

Tracing has revealed hybrid bottlenecks and delivers full visibility into critical payment flows

Apache SkyWalking provided full visibility into the black hole because before using it, we could not see what was happening when a request left Amazon EKS and went to our on-premises legacy databases. Apache SkyWalking's distributed tracing correlates these two worlds in a single view, showing us that 40% of the latency was actually happening in the network hop between the cloud and the physical data center, not in the code itself. Second, it exposes hidden architectural flaws. By using the automatic dependency mapping, we discovered that some microservices were stuck in a cyclic dependency which was documented nowhere. This visual evidence allowed us to refactor the logic and immediately increased our throughput by 30%. Apache SkyWalking gave us database-level insight without database access. Through its slow query monitoring, the Java agents captured the exact SQL statements that were hanging during peak sales hours. This meant our developers could fix the exact line of code or index without needing to wait for a DBA to pull logs, reducing our mean time to resolution. There are many features that are useful to mention in this case because we obtained different benefits. Apache SkyWalking automatically drew the topology of the 600 pods where we discovered cyclic dependencies between services that no one had documented before and that were slowing down the system. Another valuable feature is resolving hybrid bottlenecks because we isolated a specific network issue between AWS and the physical data center. Without distributed tracing, infrastructure teams blame Java code and vice versa. Database tuning is also important because thanks to slow query metrics captured by the agent, we identified and rewrote the SQL queries that most impacted performance during sales peaks.

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Idoko Emmanuel

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.

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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

"Apache SkyWalking is a very nice tool and an exceptional tool for managing volume and complex architecture on AWS without the prohibitive cost of commercial suites."

"Apache SkyWalking has positively impacted my organization by reducing the time of the team so that they can put in more efforts into their other tasks, saving a lot of time, improving our SLA in resolving any issue, providing good RCA analysis to the leadership team, and helping us in monitoring the entire health in a shorter time span."

"Using Apache SkyWalking has had a positive impact on my organization because it has enabled us to identify the causes of various problems more quickly."

"The deployment is very fast."

"What stood out to us were the metrics and granular details we received."

"We switched from New Relic and Loggly as it provides us more info at a lower price."

"Within few hours of install we've identify the source of issue we've been investigating for few days and couldn't pin point."

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

"My advice to anyone who wants to use Stackify is to go for it because my experience with it is good."

"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."

More Stackify pros

Cons

"Apache SkyWalking can be improved by responding more quickly to new versions of monitored products."

"Apache SkyWalking can be improved with storage management complexity because with this volume of 50 million traces a day, managing data retention on OpenSearch is critical."

"Apache SkyWalking can be improved by enhancing a few things. The learning curve is definitely there, so it needs a good learning curve."

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

"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'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'm looking to see more performance tools, but heard that they are going to release some."

"Better mobile support."

"Another improvement would be the agent memory utilization, which led to our recent reevaluation."

"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."

"It's not easy to set up. It's hard especially for juniors to understand."

More Stackify cons

Pricing and Cost Advice

Information not available

"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

20%

Computer Software Company

17%

Manufacturing Company

13%

Retailer

10%

Construction Company

19%

Comms Service Provider

15%

Media Company

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What is your experience regarding pricing and costs for Apache SkyWalking?

Our experience with pricing, setup cost, and licensing for Apache SkyWalking is positive since it is free, which was the reason for our decision to use it.

See all answers

What needs improvement with Apache SkyWalking?

Apache SkyWalking can be improved by responding more quickly to new versions of monitored products, including, for example, taking into account changes in Java class names.

See all answers

What is your primary use case for Apache SkyWalking?

Our main use case for Apache SkyWalking is for monitoring Java application servers such as Tomcat and WebSphere Liberty.

See all answers

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Product Reports

Application Performance Monitoring (APM) and Observability

Download Apache SkyWalking product report

Download Stackify product report

Overview

Apache SkyWalking is a versatile open-source tool used for monitoring and analyzing the performance and behavior of applications in distributed systems. It enables tracking requests, identifying bottlenecks, and troubleshooting issues in real-time, while also monitoring microservices, logs, and server metrics.

With its comprehensive monitoring capabilities, flexible architecture, and powerful visualization tools, Apache SkyWalking provides actionable insights and enhances overall application performance.

Its user-friendly interface and intuitive dashboards make it easy to understand and analyze complex data sets.

Apache

Stackify enhances application performance monitoring with features like detailed logging and effective filtering options, integrating capabilities to eliminate the need for multiple tools, and providing rapid deployment and stable performance.

Stackify offers a comprehensive solution for business insight through custom dashboards, error monitoring, load management, and application scoring. Its ability to visualize performance by creating responsive dashboards helps connect business and technical teams. Despite its strengths, users seek improvements such as better mobile support, real-time log appearance, and Docker documentation. Enhanced Linux support and agent memory optimization are also desired, along with better visibility into container and application performance metrics. Integrating more plugins and options would make Stackify a more robust monitoring tool.

What are the key features of Stackify?

Detailed Log and Error Data: Provides in-depth traces and logs for error and data analysis.
Custom Dashboards: Offers business insights and application scoring through tailored dashboards.
Performance Metrics: Monitors application and server performance effectively.
Simple Configuration: Ensures easier setup and deployment without complexities.
Filtering Options: Enables effective management of logs and errors through filters.

What benefits should be expected from using Stackify?

Improved Performance Monitoring: Provides tools to identify root causes and enhance application and server monitoring.
Resource Management: Manages server utilization and handles resource spikes efficiently.
Proactive Alerts: Allows setting up alerts across platforms like AWS and Docker.
Log Aggregation: Compiles logs for testing and analysis to improve system performance.

Organizations across industries use Stackify for extensive application performance monitoring, particularly in testing environments. It is crucial for analyzing database calls, third-party requests, and aggregating logs. Its capabilities in monitoring across AWS and Docker environments make it especially valuable for dynamic and distributed infrastructures.

Sample Customers

1. Alibaba 2. Amazon 3. Apple 4. Baidu 5. ByteDance 6. Cisco 7. Dell 8. Google 9. Huawei 10. IBM 11. Intel 12. JPMorgan Chase 13. Klarna 14. LinkedIn 15. Microsoft 16. Netflix 17. Oracle 18. PayPal 19. Pinterest 20. Qualcomm 21. SAP 22. Samsung 23. Spotify 24. Tencent 25. Twitter 26. Uber 27. VMware 28. WeChat 29. Xiaomi 30. Zoom

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

Apache SkyWalking vs. Stackify