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Gigamon Deep Observability Pipeline vs Vectra AI comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 6, 2024

Review summaries and opinions

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

ROI

Sentiment score
8.5
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
Sentiment score
7.1
Vectra AI enhances security efficiency, reduces threat response times, and offers cost-effective risk management compared to other solutions.
 

Customer Service

Sentiment score
6.5
Customer service for Gigamon Deep Observability Pipeline is mixed, with some praising it while others find it lacking in direct assistance.
Sentiment score
8.2
Vectra AI's customer service is responsive, knowledgeable, and generally praised, though complex issues might experience occasional delays.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
 

Scalability Issues

Sentiment score
7.3
Gigamon Deep Observability Pipeline scales well in cloud environments but may face challenges with on-premise scalability and outdated hardware.
Sentiment score
7.5
Vectra AI is scalable and flexible, easily integrating with cloud platforms, but may require planning and can be costly.
 

Stability Issues

Sentiment score
8.2
Users consistently rate Gigamon Deep Observability Pipeline highly for its stability, with minimal issues reported over a year of use.
Sentiment score
8.0
Vectra AI is praised for stability, requiring minimal maintenance, with efficient updates and quick issue resolution ensuring reliable performance.
 

Room For Improvement

Gigamon needs better security, traffic inspection, improved GUI, increased capacity, better filtering, and easier cloud setup, with faster hardware delivery.
Vectra AI needs better visibility, integration, flexibility, reporting, and customization, plus improved UI, detection accuracy, and endpoint coverage.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
 

Setup Cost

<p>Gigamon Deep Observability Pipeline's pricing is considered high but varies by equipment needs, with competitive alternatives available.</p>
Vectra AI's pricing varies; it's seen as costly yet competitive for quality, with complex licensing needing simplification.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
 

Valuable Features

Gigamon Deep Observability Pipeline improves firewall performance and enhances network traffic analysis with features like deduplication and encryption.
Vectra AI excels in threat detection, risk management, and seamless integration, enhancing security operations with AI-driven insights.
The main feature of Vectra AI that I find valuable is its focus on the user interface and its approximately two hundred algorithms based on artificial intelligence and machine learning.
There are extensive out-of-box detection capabilities.
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Network Detection and Response (NDR)
11th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Application Performance Monitoring (APM) and Observability (23rd), Event Monitoring (9th), Data Loss Prevention (DLP) (16th), Security Information and Event Management (SIEM) (26th), Web Application Firewall (WAF) (19th), Advanced Threat Protection (ATP) (21st), Network Packet Broker (NPB) (1st)
Vectra AI
Ranking in Network Detection and Response (NDR)
2nd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
45
Ranking in other categories
Intrusion Detection and Prevention Software (IDPS) (3rd), Extended Detection and Response (XDR) (15th), Identity Threat Detection and Response (ITDR) (10th), AI-Powered Cybersecurity Platforms (6th)
 

Mindshare comparison

As of May 2025, in the Network Detection and Response (NDR) category, the mindshare of Gigamon Deep Observability Pipeline is 1.2%, up from 0.8% compared to the previous year. The mindshare of Vectra AI is 16.2%, down from 17.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Network Detection and Response (NDR)
 

Featured Reviews

LeonardoAlves - PeerSpot reviewer
Improved the capability to analyze the environment and network problems with easy setup
It improved the capability to analyze the environment and network problems. It also helped streamline your security and performance monitoring The application I use is a script. My environment is a mix of technologies. I have many passionate people in my network who are on a journey in…
Mohammad Alkurdi - PeerSpot reviewer
Innovative detection features enhance monitoring
The advantages of the integration are not entirely out-of-the-box. You have to do it manually. When I'm doing tier response, an out-of-the-box solution is not available. You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end. This is a major consideration about them. The recall feature, if it can be placed in some areas instead of the cloud, and charged for, would be better. Recall the storage where you watch all the traffic, and you can recall it and try to analyze it in the back end. It’s cloud-based. If they offer it on-prem, it would be better. I think they have a solution, but I have never tested it, to be honest with you.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
15%
Manufacturing Company
7%
Healthcare Company
7%
Financial Services Firm
13%
Computer Software Company
13%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
The challenge is monitoring the cloud network. In on-premises environments, monitoring is straightforward, as I can verify all packets and communications. However, due to the way access tools and p...
What is your primary use case for Gigamon Deep Observability Pipeline?
It improved the capability to analyze the environment and network problems. It also helped streamline your security and performance monitoring.
What is the biggest difference between Corelight and Vectra AI?
The two platforms take a fundamentally different approach to NDR. Corelight is limited to use cases that require the eventual forwarding of events and parsed data logs to a security team’s SIEM or ...
What do you like most about Vectra AI?
The solution is currently used as a central threat detection and response system.
What is your experience regarding pricing and costs for Vectra AI?
It is very acceptable when you compare it with Darktrace, for example.
 

Also Known As

Gigamon, GigaSecure
Vectra Networks, Vectra AI NDR
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. Vectra AI and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.