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Germain vs Stackify 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

Germain
Ranking in Application Performance Monitoring (APM) and Observability
78th
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Stackify
Ranking in Application Performance Monitoring (APM) and Observability
60th
Average Rating
7.8
Number of Reviews
6
Ranking in other categories
IT Infrastructure Monitoring (58th), Log Management (62nd)
 

Mindshare comparison

As of July 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Germain is 0.1%, down from 0.1% compared to the previous year. The mindshare of Stackify is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

JM
Provides an accurate view into the user experience for Siebel Open UI and Java
Because Germain APM is capable of collecting and parsing data points from many areas (O/S, database, application logs, browser clicks, network devices, etc.) one can quickly overwhelm their Germain infrastructure. This is not so much an area of improvement for the product but more for clients to keep in mind so that they size their Germain infrastructure properly.
Moses Arigbede - PeerSpot reviewer
Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure
They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Computer Software Company
13%
Media Company
8%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Comparisons

No data available
 

Overview

 

Sample Customers

American Airlines, eBay, Pepsi, Nestle, Tata Sky, Siemens, Allan Gray, Tele2, Tinkoff Bank, etc
MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: July 2025.
862,514 professionals have used our research since 2012.