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Apache SkyWalking vs Scout APM comparison

 

Comparison Buyer's Guide

Executive Summary

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
52nd
Average Rating
9.0
Reviews Sentiment
5.7
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Scout APM
Ranking in Application Performance Monitoring (APM) and Observability
68th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Apache SkyWalking is 0.7%, up from 0.6% compared to the previous year. The mindshare of Scout APM is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Apache SkyWalking0.7%
Scout APM0.4%
Other98.9%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
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.
Antonio_Barros - PeerSpot reviewer
Regional Manager LatAm at Splunk
Great visibility and reliability with fair pricing
The solution is stable. It's pretty easy to set up, especially if you have the knowledge base and/or you have a partner assist you. The product can scale. The processes are great. It helps with services and microservices. The product is great for man different industries, including energy, government, finance, and more.

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."
"The product can scale."
 

Cons

"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."
"I can't recall coming across any missing features."
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Top Industries

By visitors reading reviews
Computer Software Company
20%
Financial Services Firm
18%
Manufacturing Company
11%
Retailer
11%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Comparisons

 

Overview

 

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
Chargify, Synctree, Aptuitiv, Barnes and Noble, Journey, Geosnapshot, Kongregate, PaperTrail, Adobe, SendGrid, Sentry
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: January 2026.
881,082 professionals have used our research since 2012.