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Gigamon Deep Observability Pipeline vs Wazuh comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 18, 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
3.5
Wazuh offers rapid detection and response, reducing costs and ensuring high ROI for small to medium businesses without security compromises.
 

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
4.3
Wazuh's support is praised, but response times vary; satisfaction ranges from 7 to 9 out of 10.
The documentation is good and provides clear instructions, though it's targeted at those with technical backgrounds.
There is no dedicated technical support for Wazuh as it is open source.
We use the open-source version of Wazuh, which does not provide paid support.
 

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Deep Observability Pipeline scales well in cloud environments but may face challenges with on-premise scalability and outdated hardware.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
7.4
Wazuh is scalable and adaptable but requires technical expertise for setup and may struggle with massive data handling.
It can accommodate thousands of endpoints on one instance, and multiple instances can run for different clients.
Scalability depends on the configuration and the infrastructure resources like compute and memory we allocate.
 

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
7.0
Wazuh is generally stable and reliable for small to mid-level businesses, though updates and configuration errors can cause issues.
The stability of Wazuh is largely dependent on maintenance.
The stability of Wazuh is strong, with no issues stemming from the solution itself.
 

Room For Improvement

Gigamon needs better security, traffic inspection, improved GUI, increased capacity, better filtering, and easier cloud setup, with faster hardware delivery.
Wazuh needs scalability, user interface improvements, better AI, cloud integration, Unix support, and efficient threat detection features.
The integration modules are insufficiently developed, necessitating the creation of custom integration solutions using tools like Logstash and PubSub.
There is room for improvement by integrating more AI into Wazuh.
An issue I noticed is with tag values in certain rules not functioning properly.
 

Setup Cost

<p>Gigamon Deep Observability Pipeline's pricing is considered high but varies by equipment needs, with competitive alternatives available.</p>
Wazuh provides cost-effective, open-source security with free software but may incur costs for support, storage, and Wazuh Cloud enhancements.
Totaling around two lakh Indian rupees per month.
Since Wazuh is open source, the pricing for support could be applicable to medium-sized companies without much issue.
 

Valuable Features

Gigamon Deep Observability Pipeline improves firewall performance and enhances network traffic analysis with features like deduplication and encryption.
Wazuh provides comprehensive security features, scalability, and cost-effectiveness, supporting diverse environments and regulatory compliance with strong community support.
Wazuh is a SIEM tool that is highly customizable and versatile.
Wazuh's most valuable features include file monitoring and compliance reporting, which do not require excessive costs.
We found the MITRE framework mapping and the agent enrollment service to be the most valuable features of Wazuh.
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Security Information and Event Management (SIEM)
26th
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), Web Application Firewall (WAF) (19th), Advanced Threat Protection (ATP) (21st), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (11th)
Wazuh
Ranking in Security Information and Event Management (SIEM)
2nd
Average Rating
7.4
Reviews Sentiment
6.3
Number of Reviews
46
Ranking in other categories
Log Management (1st), Extended Detection and Response (XDR) (3rd)
 

Mindshare comparison

As of April 2025, in the Security Information and Event Management (SIEM) category, the mindshare of Gigamon Deep Observability Pipeline is 0.1%, up from 0.0% compared to the previous year. The mindshare of Wazuh is 14.3%, down from 14.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Information and Event Management (SIEM)
 

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…
Sandip_Patel - PeerSpot reviewer
Evaluating robust file monitoring with insights for community support improvements
Wazuh's most valuable features include file monitoring and compliance reporting, which do not require excessive costs. These aspects are vital as they provide alerts for changes and facilitate the monitoring of compliance. The platform is also relatively easy to set up and operate. Reports are straightforward to extract and prove useful for compliance requirements.
report
Use our free recommendation engine to learn which Security Information and Event Management (SIEM) solutions are best for your needs.
846,617 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
8%
Healthcare Company
6%
Computer Software Company
15%
Comms Service Provider
8%
University
7%
Manufacturing Company
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 do you like most about Wazuh?
Integrates with various open-source and paid products, allowing for flexibility in customization based on use cases.
What needs improvement with Wazuh?
There is room for improvement by integrating more AI into Wazuh. It requires constant nurturing, as I have to provide it with code and specific requirements. This maintenance can be quite labor-int...
What is your primary use case for Wazuh?
We use Wazuh as a SIEM solution because it is open source, highly customizable, and continually expanding. Our clients can request various solutions for their issues, which Wazuh is able to address.
 

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. Wazuh and other solutions. Updated: March 2025.
846,617 professionals have used our research since 2012.