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Lumigo vs Sumo Logic Observability comparison

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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

Lumigo
Ranking in Application Performance Monitoring (APM) and Observability
55th
Average Rating
8.6
Reviews Sentiment
8.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Sumo Logic Observability
Ranking in Application Performance Monitoring (APM) and Observability
72nd
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Cloud Monitoring Software (45th), AIOps (29th)
 

Mindshare comparison

As of November 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Lumigo is 0.3%, up from 0.3% compared to the previous year. The mindshare of Sumo Logic Observability is 0.6%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Lumigo0.3%
Sumo Logic Observability0.6%
Other99.1%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Vinay Lal - PeerSpot reviewer
Head of Testing & AVP at Flash AI
Distributed tracing has transformed our testing workflows and now uncovers hidden failures fast
The best features Lumigo offers include the live stream architecture and transaction mapping, which helps to automatically generate and update the visual execution topology for every single test transaction. After seeing the exact flow from the edge API through intermediate queues and containerized microservices down to managed storage, it gives our QA engineers instant context. Additionally, I love the request-response payload inspection feature, which captures input and output parameters, request headers, and invocation payload safely. When an automated integration test fails, the exact offending payload is visible right inside the trace, helping to save our QA and engineering teams a lot of time, leading to at least a 48.33% drop in wasted time previously spent finding the root cause. With automation saved, automated root cause correlation has helped to correlate logs, metrics, and trace spans across asynchronous boundaries, which is notoriously difficult to debug in event-driven AI pipelines. The live stream architecture and transaction mapping make such a difference for my team, as it generates updates regularly via visual execution and the topology for every single test transaction, providing us with a view through intermediate queues and microservices to managed storage, giving engineers instant context of transactions and payloads, which saves at least 49% of our time and allows overall resources to be used more effectively. Regarding Lumigo's AI capabilities, I find the governance of security to be really good, and we have seen a positive impact due to the AI capabilities alongside strict compliance regulations such as SOC 2 and ISO 27001, proving it is compliant with applicable regulations and policies. Lumigo's accuracy is close to 100%, making it very reliable. Lumigo integrates seamlessly with other AWS services we use, and we have not faced any issues.
Shamshir Nangla - PeerSpot reviewer
Site Reliability Engineer at LHV Bank
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

"Any new member, whether from the development side or business team, finds the user-friendly UI easy to understand."
"Lumigo has positively impacted our organization with transformative ROI for our quality engineering and delivery cycles, where the meantime to defect and resolve due to debugging failed end-to-end integration test runs has dropped over 68.3%."
"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."
"The product is easy to learn."
"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."
"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

"I think support needs to be improved."
"Fine-grained data can be quite frustrating to work with and should be made easier."
"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."
"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."
"Implementing a more streamlined enrichment process, and conceptualizing the observability data collection as an ETL pipeline would be helpful."
 

Pricing and Cost Advice

Information not available
"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."
"I started on the free tier to try it out, but because of our usage, we're now paying for it."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Construction Company
13%
Comms Service Provider
12%
Manufacturing Company
11%
 

Company Size

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

Questions from the Community

What is your experience regarding pricing and costs for Lumigo?
My experience with pricing, setup cost, and licensing was good, and I rate it ten out of ten.
What needs improvement with Lumigo?
I think support needs to be improved. Lumigo can be improved particularly in support. When comparing it with AWS monitoring, Dynatrace, or other solutions, if we encounter any trouble, everyone loo...
What is your primary use case for Lumigo?
My main use case for Lumigo is microservice monitoring in my day-to-day experience. A specific example of how I use Lumigo for microservice monitoring involves comparing it to other tools such as D...
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Overview

Find out what your peers are saying about Splunk, Dynatrace, Datadog and others in Application Performance Monitoring (APM) and Observability. Updated: October 2026.
921,523 professionals have used our research since 2012.