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Gigamon Deep Observability Pipeline vs Radware Cloud WAF Service comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

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
8.1
Radware Cloud WAF Service enhances security, reduces costs, and boosts ROI by improving efficiency and minimizing management needs.
I wouldn't be able to give a number, but Radware Cloud WAF does save time for our staff due to the automation and excellent detection, which is invaluable.
With our on-prem solution, we spent a lot of time on maintenance tasks, OS updates, and ensuring appliances ran smoothly, but with Cloud WAF, all that is managed by the cloud team, allowing us to focus on alert analysis.
Radware Cloud WAF has helped reduce false positives and efforts, which in turn, improved the total cost of ownership by freeing up time to focus on other projects.
 

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
7.9
Radware Cloud WAF Service is praised for efficient, knowledgeable support, especially in handling high-priority issues with technical expertise.
The support provided by Radware's Emergency Response Team is excellent.
We have ERT premium support with a five-minute SLA.
They are usually very fast in response.
 

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Deep Observability Pipeline scales well in cloud environments but may face challenges with on-premise scalability and outdated hardware.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
8.3
Radware Cloud WAF Service is highly scalable, seamlessly handling global traffic and integrating with security tools for diverse applications.
The scalability of Radware Cloud WAF Service rates as a perfect ten out of ten, as we haven't encountered any scaling issues.
Since it's a Cloud WAF, it is always scalable.
I would rate it nine out of ten in terms of handling the capacity and volume.
 

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
8.2
Radware Cloud WAF Service is noted for high stability, reliable performance, with brief downtimes quickly resolved and highly rated.
I have never encountered downtime, maintenance-related issues, or latency.
The stability of Radware Cloud WAF Service is excellent, and I would rate it as a ten.
There have been no issues with downtime, bugs, or glitches.
 

Room For Improvement

Gigamon needs better security, traffic inspection, improved GUI, increased capacity, better filtering, and easier cloud setup, with faster hardware delivery.
Radware Cloud WAF needs better integration, API protection, UI, documentation, and training, alongside enhanced support and cost-effective licensing.
It would be beneficial if we could perform POST requests and integrate our applications more effectively.
The documentation is not up to par, as while the platform's system is robust, the documentation, particularly for API integration, could be more developer-friendly with real-world use cases.
Improving dashboard capabilities to provide this information clearly for management is crucial.
 

Setup Cost

<p>Gigamon Deep Observability Pipeline's pricing is considered high but varies by equipment needs, with competitive alternatives available.</p>
Enterprise users consider Radware Cloud WAF Service pricing high, with complexity and extra costs impacting smaller enterprises.
Pricing could be more competitive, especially for smaller customers.
I find Radware Cloud WAF to be a quite expensive product compared to others.
The pricing is not cheap; it is expensive, but it is effective.
 

Valuable Features

Gigamon Deep Observability Pipeline improves firewall performance and enhances network traffic analysis with features like deduplication and encryption.
Radware Cloud WAF Service provides user-friendly, scalable Layer 7 protection with automated analytics, threat blocking, and comprehensive DDoS security.
The most important aspect of Radware Cloud WAF is that it is over the cloud, offering a comprehensive solution that includes WAF, API protection, bots, and Layer 7 DDoS.
It has features such as API security that protect against advanced attacks, including business logic attacks.
Radware Cloud has significantly reduced attacks on our applications.
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Web Application Firewall (WAF)
32nd
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Application Performance Monitoring (APM) and Observability (39th), Event Monitoring (10th), Data Loss Prevention (DLP) (30th), Security Information and Event Management (SIEM) (45th), Advanced Threat Protection (ATP) (25th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (20th)
Radware Cloud WAF Service
Ranking in Web Application Firewall (WAF)
10th
Average Rating
8.8
Reviews Sentiment
8.1
Number of Reviews
32
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Web Application Firewall (WAF) category, the mindshare of Gigamon Deep Observability Pipeline is 0.1%. The mindshare of Radware Cloud WAF Service is 1.4%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Web Application Firewall (WAF)
 

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…
Tanuj-Garg - PeerSpot reviewer
API discovery, bot defense, and DDoS capability optimize application security and development
I see areas in Radware Cloud WAF Service for improvement, specifically in its initial tuning period, because the machine learning model takes two to three weeks for baseline behavior establishment. Closely monitoring alerts during this period is essential to avoid false positives. There's an alert noise issue; during the early stages, we received a high volume of alerts for minor issues, requiring collaboration with the SOC team to fine-tune thresholds and concentrate on genuine threats. The documentation is not up to par, as while the platform's system is robust, the documentation, particularly for API integration, could be more developer-friendly with real-world use cases.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
15%
Healthcare Company
7%
Manufacturing Company
7%
Computer Software Company
23%
Manufacturing Company
11%
Retailer
10%
Financial Services Firm
9%
 

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 your experience regarding pricing and costs for Radware Cloud WAF Service?
I would rate the cost around seven out of ten. Radware provides many different options, but it may not be affordable for companies that aren't large.
What needs improvement with Radware Cloud WAF Service?
I see areas in Radware Cloud WAF Service for improvement, specifically in its initial tuning period, because the machine learning model takes two to three weeks for baseline behavior establishment....
What is your primary use case for Radware Cloud WAF Service?
We are choosing Radware Cloud WAF Service over traditional WAF because it has API first behavioral protection, advanced bot defense, and layer 7 web DDoS capability. It was chosen because of the hy...
 

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. Radware Cloud WAF Service and other solutions. Updated: June 2025.
859,129 professionals have used our research since 2012.