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Gigamon Deep Observability Pipeline vs SentinelOne Singularity AI SIEM comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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 Security Information and Event Management (SIEM)
43rd
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Application Performance Monitoring (APM) and Observability (41st), Event Monitoring (12th), Data Loss Prevention (DLP) (34th), Web Application Firewall (WAF) (32nd), Advanced Threat Protection (ATP) (25th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
SentinelOne Singularity AI ...
Ranking in Security Information and Event Management (SIEM)
23rd
Average Rating
8.6
Reviews Sentiment
6.1
Number of Reviews
5
Ranking in other categories
AI Observability (22nd)
 

Mindshare comparison

As of March 2026, in the Security Information and Event Management (SIEM) category, the mindshare of Gigamon Deep Observability Pipeline is 0.4%, up from 0.1% compared to the previous year. The mindshare of SentinelOne Singularity AI SIEM is 1.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Information and Event Management (SIEM) Mindshare Distribution
ProductMindshare (%)
SentinelOne Singularity AI SIEM1.6%
Gigamon Deep Observability Pipeline0.4%
Other98.0%
Security Information and Event Management (SIEM)
 

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.
Prince Joseph - PeerSpot reviewer
Group Chief Information Officer at NeST Information Technologies Pvt Ltd
Advanced AI-driven monitoring has strengthened investigations and now prioritizes critical threats
I would not say there is anything that could be better in SentinelOne Singularity AI SIEM; I think we have seen something unique in the product. This product has the potential to add more SOC functionality on top of its SIEM, which can automate a few more things because I have the information there. I need to do what I would call security agents or agentic AI to be built on top; it can take care of a lot more analysis and actions. Maybe licensing cost can also be looked at and reduced. We are still to see the automated feature work a little bit more; we are not really using it to the full extent.

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."
"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."
"The most valuable feature is NetFlow."
"We use Gigamon for network visibility."
"The most valuable feature for improving network visibility with Gigamon is the packet filtering capability."
"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."
"It offers straightforward integration."
"Overall, I would assess the overall security posture after implementing SentinelOne Singularity AI SIEM as significantly better."
"AI-driven capabilities will give me real-time detection and will protect my autonomous AI interruption."
"When they face attacks such as ransomware and are dissatisfied with their existing solutions, they switch to SentinelOne Singularity AI SIEM, which is quite good in detecting unknown threats, cleaning the system, and handling ransomware."
"After using SentinelOne Singularity AI SIEM, it has reduced our incident response time by forty to fifty percent compared to other tools."
"SentinelOne Singularity AI SIEM's AI-powered analytics does affect our SOC's ability to reduce false positives; that is one of the biggest advantages because the manpower that I have is limited."
 

Cons

"They should increase the solution's cluster capacity."
"The graphical user interface could be improved."
"The security should be improved."
"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."
"It only inspects a specific kind of traffic."
"In terms of improvement, while the initial setup is not overly complicated, we did encounter a few issues."
"It only inspects a specific kind of traffic. There should be different kinds of use cases."
"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."
"At the moment, I feel the pricing is a little bit on the higher side, but the tool is positioned in a place where risk is very high, and we do not want to take chances, so we are prepared to pay the premium."
"It is quite good, but the only downside is that it is costly."
"In AI SIEM, the areas that have room for improvement are the parsers for third-party integrated data or for third-party data sources that are not native integrations, which could be made a bit easier."
"SentinelOne Singularity AI SIEM has some performance and reliability issues that need improvement."
"Another area for improvement is that the product is somewhat expensive. Pricing could be improved as well."
 

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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
10%
Healthcare Company
8%
Manufacturing Company
7%
Healthcare Company
9%
Comms Service Provider
9%
Construction Company
9%
Transportation Company
5%
 

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 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 needs improvement with SentinelOne Singularity AI SIEM?
In AI SIEM, the areas that have room for improvement are the parsers for third-party integrated data or for third-party data sources that are not native integrations, which could be made a bit easi...
What is your primary use case for SentinelOne Singularity AI SIEM?
Our use case with SentinelOne Singularity AI SIEM is primarily AI observability for a large part. We are using it for SIEM purposes as well. Prior to the inclusion of Purple AI, it was exclusively ...
What advice do you have for others considering SentinelOne Singularity AI SIEM?
My impression of the AI-driven threat detection capabilities of SentinelOne Singularity AI SIEM is great. I am really looking forward to the upcoming feature with agentic incident investigation. If...
 

Also Known As

Gigamon, GigaSecure
No data available
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Information Not Available
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. SentinelOne Singularity AI SIEM and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.