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AWS X-Ray vs Sumo Logic Observability 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
16th
Average Rating
7.8
Reviews Sentiment
7.7
Number of Reviews
10
Ranking in other categories
No ranking in other categories
Sumo Logic Observability
Ranking in Application Performance Monitoring (APM) and Observability
21st
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Cloud Monitoring Software (17th), AIOps (10th)
 

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 Sumo Logic Observability is 0.2%, up from 0.1% 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 - PeerSpot reviewer
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.
Shamshir Nangla - PeerSpot reviewer
Getting up and running is easy, even for a newbie but management of searches definitely needs improvement
Operational effectiveness with regards to when there's an issue, when there's a reactive issue, people are able to, or as well as proactively, actually, because we use their PagerDuty integrations. We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening. With those same alerts, obviously, with that platform, you can use it to reactively start looking at troubleshooting issues as they're happening right then and there or incidents. So it's been very, very good for alerting and for troubleshooting issues. For predicting issues before they happen, it is not very good. They have a feature called anomaly detection, but I think it's quite premature compared to other stuff out there. So it's good for alerts and for troubleshooting operational effectiveness. When your operations are down or segregated, it's perfect because it will help you diagnose the issues.

Quotes from Members

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

Pros

"The most beneficial feature is that it shows a dashboard for performance intervals, which reveals latencies."
"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."
"AWS X-Ray shows us exactly when there are delays, helping us understand the depth of issues and what is happening point-to-point."
"The most important one is compliance. We're able to achieve our regulatory levels. We're able to achieve the security level that we need for the federal government."
"It is a very scalable solution."
"AWS X-Ray's endpoints and user monitoring are considered the most valuable features."
"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."
"The error analysis capabilities of X-Ray are really good."
"We use queries in Sumo Logic to trigger alerts based on logging. That allows us to proactively identify issues as they're happening."
"The solution allows multiple groups to converge on a unified platform, allowing for different utilization by various teams."
"Sumo Logic Observability presents a range of valuable features, including well-crafted dashboards and a diverse selection of helpful apps. However, personally, I don't hold a favorable opinion of the solution. While I don't struggle with writing queries, my main difficulty lies in recruiting competent individuals and ensuring their proficiency in utilizing the solution. This often leads to additional challenges and complexities. From my perspective, when compared to Microsoft Sentinel or even Splunk, Sumo Logic Observability has a steeper learning curve. One contributing factor to this disparity is the solution's long existence in the market compared to Synlogic. Nevertheless, I acknowledge that there are capable and knowledgeable professionals employed at Sumo Logic Observability. The effectiveness of the solution largely depends on how it is integrated into your internal operations and environment. Its utility and benefits can vary significantly. It is worth noting that organizations like the NSA and, I believe, the CIA used it in the past, primarily for rapidly searching and analyzing large volumes of data. To leverage its capabilities effectively, you must determine how to tailor it to your specific needs."
"I have not seen any stability issues in the product."
"The product is easy to learn."
"Alerting and consistency are key. We have different tiers with log collectors, and continuous querying provides near-real-time updates. It's almost like instantly when something happens, like pending transactions or error fees. This helps reduce incident resolution time compared to waiting for thresholds on other platforms. We can continue logging in with them seamlessly and quickly get into action."
 

Cons

"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."
"Compared to other open-source tools, AWS X-Ray needs improvement in providing discounts."
"AWS X-Ray should improve its implementation process to make it easier for developers."
"If you have a small team, it's probably overkill."
"The user interface is sometimes kind of confusing to understand. It's not very user-friendly."
"Sometimes, the collector agents are confusing to configure initially."
"I do not have any notes in terms of improvements."
"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."
"Documentation could be better. While it's generally good, sometimes finding what you need requires extensive searching. It's not always clear where to look for specific things."
"Fine-grained data can be quite frustrating to work with and should be made easier."
"SearchUI.exe is a bit clunky in the product, making it an area where the product needs improvements."
"The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five minutes."
 

Pricing and Cost Advice

"The solution is a bit expensive."
"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."
"I started on the free tier to try it out, but because of our usage, we're now paying for it."
"Now, they’re not charging by ingests anymore. You should expect the price to be a bit of an unknown and to basically increase as the business increases."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
17%
Manufacturing Company
8%
Comms Service Provider
6%
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
11%
Transportation Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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.
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?
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...
What needs improvement with Sumo Logic Observability?
The speed of queries could be improved. When using more advanced functions, especially with large datasets like the 90-day log retention we had, queries could be slow, sometimes taking up to five m...
What is your primary use case for Sumo Logic Observability?
We used it for log observability – log aggregation specifically.
 

Overview

 

Sample Customers

COMCAST, ConnectWise, skyscanner, AirAsia, cookpad, cimpress, VTEX, zowdow
Information Not Available
Find out what your peers are saying about AWS X-Ray vs. Sumo Logic Observability and other solutions. Updated: June 2025.
857,162 professionals have used our research since 2012.