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POWERHOUSE Application Performance Monitoring 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

POWERHOUSE Application Perf...
Ranking in Application Performance Monitoring (APM) and Observability
84th
Average Rating
8.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Sumo Logic Observability
Ranking in Application Performance Monitoring (APM) and Observability
20th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
6
Ranking in other categories
Cloud Monitoring Software (21st), AIOps (10th)
 

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of POWERHOUSE Application Performance Monitoring is 0.1%, down from 0.1% 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

it_user328959 - PeerSpot reviewer
Gives us clear information on what is going wrong and where we need to focus to improve our applications, but it lacks automatic alerting.
Have real-time performance metrics Alerting Profiling in production Gives us clear information on what is going wrong and where we need to focus to improve our applications. Real added value in our IT internal and external organization (we open Nudge APM dashboard to our outsourced…
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
No data available
Financial Services Firm
16%
Computer Software Company
14%
Manufacturing Company
10%
Transportation Company
8%
 

Company Size

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

Questions from the Community

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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.
 

Also Known As

Nudge APM
No data available
 

Overview

 

Sample Customers

Bank and Insurance : Crédit Agricole, CDC (Caisse des dépots et consignations), ACMS (French healthcare insurance), Service : Unibail Rodamco, Elis, Public : CNIL, Mairie de Paris, AESN, HAS, EPIDE, Ministere Education Nationale Software : Jalma, Neoxia, AFI, Traceone, Infinancials, Telecom operator : NordNet Media : Les Echos,
Information Not Available
Find out what your peers are saying about POWERHOUSE Application Performance Monitoring vs. Sumo Logic Observability and other solutions. Updated: April 2025.
848,270 professionals have used our research since 2012.