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Gigamon Deep Observability Pipeline vs Google Cloud's operations suite (formerly Stackdriver) 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
39th
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Event Monitoring (11th), Data Loss Prevention (DLP) (32nd), Security Information and Event Management (SIEM) (43rd), Web Application Firewall (WAF) (31st), Advanced Threat Protection (ATP) (26th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
Google Cloud's operations s...
Ranking in Application Performance Monitoring (APM) and Observability
23rd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
10
Ranking in other categories
Log Management (24th), Cloud Monitoring Software (17th)
 

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Gigamon Deep Observability Pipeline is 0.5%, up from 0.1% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.9%, down from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Google Cloud's operations suite (formerly Stackdriver)0.9%
Gigamon Deep Observability Pipeline0.5%
Other98.6%
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.
Anand_Patel - PeerSpot reviewer
Senior Technical Architect at T-Systems International GmbH
Offers reliable Ops Agent and logging transport feature with easy third-party integrations
As part of our company, we implemented several changes in our log analytics pattern, including the storage and procurement process. Earlier, before implementing the solution, our company was able to procure only one year of data, but later, we came to the three-year mark. Around 15-20% reduction has been witnessed in the total analytic consumption of our company. The aforementioned result was possible because the solution allowed the creation of a dashboard where factors like storage costs, proportion of logs, and logs presence in a storage bucket or Big Query can all be checked. Earlier all logs were stored in a raw storage, but currently our company is able to move logs in table bucket that contributes towards cost savings. It has default integration for all gcp services. recently managed Prometheus support gives more flexibility to organizations to remain connected with their current Prometheus setup. We leveraged integrated FinOps Hub for recommendations for our workloads and server configurations, helpd us lot in order to get maximum TCO.

Quotes from Members

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

Pros

"The solution is straightforward to set up."
"The most valuable feature is NetFlow."
"It has high stability."
"It offers straightforward integration."
"The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security."
"The tool's most valuable feature is the encryption feature. From a security perspective, the solution hasn't significantly strengthened our security posture. However, it has greatly improved performance by streamlining encryption processes and avoiding encryption at multiple layers. This has also simplified troubleshooting, as we can whitelist certain processes."
"The most valuable feature for improving network visibility with Gigamon is the packet filtering capability."
"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."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"We find the solution to be stable."
"It's easy to use."
"I like the monitoring feature."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"Google's technical support is very good."
 

Cons

"The graphical user interface could be improved."
"In terms of improvement, while the initial setup is not overly complicated, we did encounter a few issues."
"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."
"It only inspects a specific kind of traffic. There should be different kinds of use cases."
"Its filtering feature needs improvement."
"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."
"The security should be improved."
"They should increase the solution's cluster capacity."
"The product provides minimal metrics that are insufficient."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
"It is difficult to estimate in advance how much something is going to cost."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"The process of logging analytics can be improved"
"It could be more stable."
"It could be even more automated."
"The logging functionality could be better."
 

Pricing and Cost Advice

"I would rate the solution as expensive, around an eight or nine out of ten. There are other competitive solutions available."
"The solution is highly-priced."
"The solution's price is reasonable."
"We have a basic standard license without any additional costs."
"The cost of using Stackdriver depends on usage."
"The cost could be lower."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Healthcare Company
8%
Manufacturing Company
7%
Financial Services Firm
15%
Computer Software Company
12%
University
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise8
 

Questions from the Community

What do you like most about Gigamon Deep Observability Pipeline?
The most valuable feature for improving network visibility with Gigamon is the packet filtering capability.
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 is your experience regarding pricing and costs for Google Stackdriver?
As Ops Suite, is a google product which effectively comes at zero setup cost, in order to manage your on-premises logs on onsite, it involves negligible cost for using ops agent and it also include...
What needs improvement with Google Stackdriver?
If the errors are caught early in the interface, it would be easier for users to manage. The process of logging analytics can be improved.
What is your primary use case for Google Stackdriver?
I use the solution for logging, defining alerts, and monitoring. Our company's Java and Python logging teams mainly use it.
 

Also Known As

Gigamon, GigaSecure
Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Uber, Batterii, Q42, Dovetail Games
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.