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Moogsoft vs Sumo Logic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 13, 2025

Review summaries and opinions

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

ROI

Sentiment score
7.3
Users report reduced incident resolution time, improved alert management, cost savings, faster troubleshooting, enhanced collaboration, and quicker root cause analyses.
Sentiment score
7.0
Sumo Logic Observability improved operational efficiency, reduced downtime, and provided better issue resolution, visibility, stability, and proactive IT management.
ROI depends on how we integrate our IT operations with Moogsoft, as it can reduce our workload, downtime, and resolution time effectively, ultimately delivering better solutions based on mean time to resolution.
 

Customer Service

Sentiment score
6.4
Moogsoft support is efficient for some, but others experience delays; improvements noted post-acquisition with still some room for better coverage.
Sentiment score
7.8
Sumo Logic Observability's customer service is highly rated, with quick responses and helpful support, particularly for advanced and OpenTelemetry issues.
 

Scalability Issues

Sentiment score
7.5
Moogsoft offers scalable cloud-based solutions with efficient device handling and flexible pricing, despite requiring coding for integrations.
Sentiment score
7.3
Sumo Logic Observability scales efficiently for diverse users, handling peak records with ease, supported by Fluent Bit and OpenTelemetry.
 

Stability Issues

Sentiment score
7.4
Moogsoft is reliable, stable, handles high loads efficiently, and requires minimal maintenance, with resolved earlier stability issues.
Sentiment score
8.8
Sumo Logic Observability is highly reliable, with users experiencing no issues and rating its reliability a perfect ten for enterprises.
Sometimes Moogsoft experiences stability issues due to bugs or internal problems, leading to downtime.
 

Room For Improvement

Moogsoft needs better integration, analytical capabilities, user support, and improved dashboard features for enhanced incident management and automation.
The system requires efficiency improvements in data usage, cost management, enrichment, search interface, query speed, and pre-built dashboards.
Introducing machine learning and AI features would enhance Moogsoft, streamlining IT operations, incident detection, and response management.
 

Setup Cost

Moogsoft offers flexible pricing with SaaS and on-premise options, though costs may vary based on usage and model.
<p>Sumo Logic Observability provides flexible, competitive pricing for enterprises, but additional costs may apply for advanced features and high data volumes.</p>
 

Valuable Features

Moogsoft integrates with 50+ IT tools, enhancing incident management with AI-driven features for improved diagnostics and system uptime.
Sumo Logic Observability offers real-time alerting, apps, team collaboration, easy integration, and a flexible query language, boosting incident resolution.
Moogsoft offers various benefits, including incident response, reduced noise alert fatigue, increased availability and uptime, helping companies gain a better understanding of their IT environment, proactively addressing issues, and improving services.
 

Categories and Ranking

Moogsoft
Ranking in AIOps
8th
Average Rating
7.8
Reviews Sentiment
6.1
Number of Reviews
16
Ranking in other categories
IT Infrastructure Monitoring (24th), IT Operations Analytics (6th)
Sumo Logic Observability
Ranking in AIOps
11th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Cloud Monitoring Software (17th)
 

Mindshare comparison

As of August 2025, in the AIOps category, the mindshare of Moogsoft is 3.2%, down from 3.4% compared to the previous year. The mindshare of Sumo Logic Observability is 0.9%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps
 

Featured Reviews

Siddharth_Jain - PeerSpot reviewer
Filters the noise and consolidating alerts into a single situation report
Moogsoft's integration options are somewhat limited. It primarily relies on webhooks and APIs for data input, meaning external systems must push data to Moogsoft; it cannot pull data independently. If I want to connect CloudWatch or Prometheus to Moogsoft, I have to write custom code on the Prometheus side to send data through Moogsoft’s APIs or webhooks. Other monitoring tools like Splunk and Dynatrace typically have agents that reside on the system, automatically collecting and sending data. This difference can create challenges for teams needing seamless integration. Although Moogsoft has developed some plugins, such as those for Grafana and Zabbix, that are ready to use, they don’t have comprehensive support for every tool. Splunk has developed an AI assistant that can answer your queries and everything else. Moogsoft lacks that. Dynatrace has this AI component that will identify things on its own. On the other end, Moogsoft, you must set up the workflow. You have to come and set up the cookbooks. ServiceNow also has good event correlation. Splunk is fantastic with the event correlation.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
11%
Manufacturing Company
7%
Comms Service Provider
5%
Computer Software Company
15%
Financial Services Firm
13%
Manufacturing Company
8%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Moogsoft?
Incident management is streamlined with Moogsoft. One standout feature is its unique situation-creation capability, differentiating it from other fault management tools. While other tools typically...
What needs improvement with Moogsoft?
We can improve Moogsoft by optimizing its noise feature, normalizing events, customizing deduplication rules, enhancing correlation accuracy, and improving incident response and automation. Introdu...
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

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Find out what your peers are saying about Moogsoft vs. Sumo Logic Observability and other solutions. Updated: July 2025.
864,574 professionals have used our research since 2012.