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Gigamon Deep Observability Pipeline vs Mezmo 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

Gigamon Deep Observability ...
Ranking in Application Performance Monitoring (APM) and Observability
41st
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Event Monitoring (15th), Data Loss Prevention (DLP) (34th), Security Information and Event Management (SIEM) (43rd), Web Application Firewall (WAF) (34th), Advanced Threat Protection (ATP) (25th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
Mezmo
Ranking in Application Performance Monitoring (APM) and Observability
74th
Average Rating
9.0
Number of Reviews
2
Ranking in other categories
Log Management (56th), Observability Pipeline Software (8th)
 

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Gigamon Deep Observability Pipeline is 0.7%, up from 0.2% compared to the previous year. The mindshare of Mezmo is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Gigamon Deep Observability Pipeline0.7%
Mezmo0.5%
Other98.8%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

TN
Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V
Experience boosts operational efficiency while performance sees room for improvement
I don't have specific information on whether it was purchased on the AWS marketplace or somewhere else. I am working with Dynatrace Operator. I am also working with Algosec, Alluvio, CrowdStrike, Firemon, Gigamon Deep Observability Pipeline, and other solutions. I think it's a good tool, and I am satisfied with it. We have not stored cloud workloads with Gigamon Deep Observability Pipeline yet; we are still on-premises. The technical support takes about one to two hours to respond, which is acceptable. I am satisfied with the scalability of the product. The interface is good.
TO
President and Founder at STILLWATER SUPERCOMPUTING INC
It consolidates all logs into one place and provides required features and functionalities
Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to do RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue.

Quotes from Members

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

Pros

"It is a good product. It provides network visibility, which is important. Gigamon can bring some optimizations to my network. It is helpful for security inspection, and it makes my firewall work fast because my firewall doesn't have to do the inspection of the SSL connections, for example."
"It offers straightforward integration."
"The most valuable feature is NetFlow."
"The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security."
"The most valuable feature for improving network visibility with Gigamon is the packet filtering capability."
"We use Gigamon for network visibility."
"The solution is straightforward to set up."
"It has high stability."
"LogDNA consolidates all logs into one place, which is super valuable."
"We haven't had anything yet that we couldn't do through LogDNA."
"With LogDNA, which brings all the logs together in an interleaved stream, it allows us to take a transaction and relate it to other contextual events making the gathering of evidence for auditors and our internal RCA much more productive."
"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface."
 

Cons

"Its filtering feature needs improvement."
"The graphical user interface could be improved."
"The Gigamon Deep Observability Pipeline should have a feature showing the traffic flow within its platform. Currently, customers have to use separate tools for monitoring, which is inconvenient. If it had its visibility feature, it would make monitoring easier and more complete without needing extra tools."
"The security should be improved."
"They should increase the solution's cluster capacity."
"It only inspects a specific kind of traffic. There should be different kinds of use cases."
"The challenge is monitoring the cloud network."
"Gigamon Deep Observability Pipeline needs to improve its performance. I face issues with performance because we use SPAN, and the SPAN traffic is not good."
"Scalability could be improved; we are using it through the IBM cloud deployment and on some of the data centers that are very heavily used, there is a significant lag in the event stream, sometimes 10, 15 minutes behind, which makes the RCA impossible."
"No ability to encapsulate a query or a filter, and communicate or share that among the team."
"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue."
 

Pricing and Cost Advice

"The solution is highly-priced."
"I would rate the solution as expensive, around an eight or nine out of ten. There are other competitive solutions available."
"The solution's price is reasonable."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
8%
Transportation Company
18%
Construction Company
16%
Comms Service Provider
13%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
No data available
 

Questions from the Community

What needs improvement with Gigamon Deep Observability Pipeline?
Gigamon Deep Observability Pipeline needs to improve its performance. I face issues with performance because we use SPAN, and the SPAN traffic is not good. They need to improve their performance.
What is your primary use case for Gigamon Deep Observability Pipeline?
I am working with Gigamon Deep Observability Pipeline and Firemon, and I have been working with it for a year.
What advice do you have for others considering Gigamon Deep Observability Pipeline?
I don't have specific information on whether it was purchased on the AWS marketplace or somewhere else. I am working with Dynatrace Operator. I am also working with Algosec, Alluvio, CrowdStrike, F...
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Also Known As

Gigamon, GigaSecure
LogDNA
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Instacart, Asics, Lime, Salesforce
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. Mezmo and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.