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Gigamon Deep Observability Pipeline vs New Relic 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:
 

ROI

Sentiment score
4.8
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
Sentiment score
6.8
New Relic enhances performance by quickly pinpointing issues, improving application speed and stability, despite occasional pricing concerns.
 

Customer Service

Sentiment score
5.4
Gigamon Deep Observability Pipeline's technical support is generally praised, though outsourced support presents challenges for some users.
Sentiment score
7.5
New Relic's customer service is praised for quick, helpful support, although some experience variable wait times and off-hour delays.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
Issues that could be solved quickly sometimes take longer because they go around in circles.
 

Scalability Issues

Sentiment score
6.5
Gigamon Deep Observability Pipeline excels in scalability, especially in cloud environments, accommodating large deployments with ease and flexibility.
Sentiment score
7.8
New Relic offers reliable scalability for diverse infrastructures, effectively handling thousands of applications and servers with minor concerns.
 

Stability Issues

Sentiment score
7.2
Gigamon Deep Observability Pipeline delivers stable, reliable performance in data centers, with high ratings despite minor issues in older systems.
Sentiment score
7.8
New Relic is highly stable, handling workloads well, with minor issues quickly resolved and consistently high user ratings.
 

Room For Improvement

Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
New Relic users seek better pricing, enhanced integrations, improved documentation, and more comprehensive dashboards, alerts, and performance monitoring.
Email alert customization is limited; it cannot be tailored much, which makes the system more rigid than optimal.
 

Setup Cost

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
Enterprise buyers should consider New Relic's complex and potentially expensive pricing model, especially for smaller companies or large deployments.
 

Valuable Features

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
New Relic offers performance monitoring, real-time analysis, error detection, and integration tools, enhancing efficiency and user experience.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Application Performance Monitoring (APM) and Observability
40th
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Event Monitoring (10th), Data Loss Prevention (DLP) (29th), Security Information and Event Management (SIEM) (44th), Web Application Firewall (WAF) (32nd), Advanced Threat Protection (ATP) (25th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (17th)
New Relic
Ranking in Application Performance Monitoring (APM) and Observability
3rd
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
159
Ranking in other categories
Network Monitoring Software (10th), IT Infrastructure Monitoring (8th), IT Operations Analytics (3rd), Mobile APM (3rd), Cloud Monitoring Software (5th), AIOps (4th)
 

Mindshare comparison

As of August 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Gigamon Deep Observability Pipeline is 0.2%, up from 0.1% compared to the previous year. The mindshare of New Relic is 6.0%, down from 9.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

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…
Rahul -Jain - PeerSpot reviewer
Good for application Performance Monitoring but not stable
There are two types of teams we have in every organization. One is for DevOps, and the second one is for performance testing. Those who are using these tools, like AppDynamics, Dynatrace, or whatever tool we have on the APM side. These tools are used by two teams: one is the performance team, and another one is the DevOps team. So, the setup and the alert system belong to the DevOps team, not for performance. So, I don't use any alerts in AppDynamics, Dynatrace, or any of the tools.
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Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
865,384 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Healthcare Company
7%
Manufacturing Company
7%
Computer Software Company
14%
Financial Services Firm
14%
Manufacturing Company
8%
Retailer
6%
 

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?
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.
Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
What do you like most about New Relic Insights?
The product's initial setup phase was very easy.
What needs improvement with New Relic Insights?
I reviewed another observability tool, DataDog, and we moved away from New Relic because the pricing was not convenient and didn't fit our budget. With DataDog, some of the APM features we were loo...
 

Also Known As

Gigamon, GigaSecure
New Relic Browser, New Relic Applied Intelligence, New Relic Insights, New Relic Synthetics, New Relic Servers, New Relic APM
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
World Fuel Services, Verizon, FootLocker, McDonald's, Trainline, Mondia Media, Confused, Costa Coffee, Ryanair, Marks & Spencer, William Hill, Delivery Hero, Skyscanner, BASF, DAZN, Veygo, Virtuo, movingimage, talabat, Australia Post, Tokopedia, Seven Network, Virgin Australia, Zomato, BigBasket, Mercado Libre, Lending Club
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. New Relic and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.