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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
6.2
New Relic enhances performance and troubleshooting, valued for system insights and efficacy, despite uncertain financial returns.
There is return on investment because since we reduced the downtime, we can definitely save a lot of money within that period.
System Engineer at a retailer with 10,001+ employees
There is a definite return on investment for New Relic, as we would not have invested in building its infrastructure if there were no returns.
Senior Software Engineer at a computer software company with 1,001-5,000 employees
One of the metrics that helped as a return on investment was the ability to detect issues faster and troubleshoot more quickly, which in turn helped to achieve a much better service level agreement with customers.
Senior SRE Engineer at SentinelOne
 

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, effective support, though occasionally delayed, with high user satisfaction ratings.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V
If I drop an email to them, they will respond quickly to my email.
Senior DevOps Engineer at a tech vendor with 10,001+ employees
Customer support from New Relic is very good, and we rarely need to create support tickets.
Senior Software Engineer at a computer software company with 1,001-5,000 employees
They are very polite and helped him out.
Cloud Engineer at a outsourcing company with 1,001-5,000 employees
 

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
7.7
New Relic scales well, supports diverse environments, efficiently handles high data volumes, and is highly rated for flexibility and adaptability.
We currently use New Relic for tens of thousands of developers and hundreds of teams within our organization, and we have not encountered any scalability issues.
Senior Software Engineer at a computer software company with 1,001-5,000 employees
It is also suitable for cloud native architectures, SaaS, or software as a service, and for high volume data ingestion also.
Cloud Engineer at a outsourcing company with 1,001-5,000 employees
New Relic's scalability is good based on my experience, and it can handle my organization's needs as they grow.
Contingent Worker at a retailer with 10,001+ employees
 

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
7.9
New Relic exhibits high stability and reliability, with minor issues like occasional slow data processing and rare instabilities.
New Relic lags sometimes.
Cloud Engineer at a outsourcing company with 1,001-5,000 employees
New Relic is stable based on my experience, as I have not seen any problems with the UI.
Contingent Worker at a retailer with 10,001+ employees
 

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 criticize high costs, privacy issues, inadequate analytics, lacking integration, and poor documentation causing steep learning curves.
If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful.
System Engineer at a retailer with 10,001+ employees
Using real-time data, if there are any malicious patterns or something happening, they can identify those.
Platform Software Engineer 4 at Nexthink
Because of the pricing model, organizations have experienced uncontrolled costs and were not able to afford New Relic.
Senior SRE Engineer at SentinelOne
 

Setup Cost

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
Enterprise customers consider New Relic costly, but its advanced features justify the expense despite pricing and licensing challenges.
Considering the features New Relic offers, the pricing or cost setup has not been a blocker for our budget.
Senior Software Engineer at a computer software company with 1,001-5,000 employees
My experience with pricing, setup cost, and licensing for synthetic monitoring is that minions used to cost a lot.
DevOps engineer at a tech company with 5,001-10,000 employees
 

Valuable Features

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
New Relic provides real-time monitoring, diagnostics, and dashboards for DevOps, with easy setup and strong third-party integrations.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Senior Relationship Banker at Joint stock Commercial Bank for Foreign Trade of V
Using New Relic speeds up troubleshooting and resolution, giving us a clearer picture of where issues are, thus saving time and effort.
Head of API at a marketing services firm with 11-50 employees
New Relic is very useful for teams that don't have much of a dedicated DevOps team but want to have observability for their platform, and it's an easy way to get started.
Senior SRE Engineer at SentinelOne
New Relic has positively impacted our organization by reducing errors, improving performance, and saving time.
Senior Software Engineer at a computer software company with 1,001-5,000 employees
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Application Performance Monitoring (APM) and Observability
41st
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Event Monitoring (11th), Data Loss Prevention (DLP) (34th), Security Information and Event Management (SIEM) (41st), Web Application Firewall (WAF) (32nd), Advanced Threat Protection (ATP) (27th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
New Relic
Ranking in Application Performance Monitoring (APM) and Observability
4th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
172
Ranking in other categories
Network Monitoring Software (8th), IT Infrastructure Monitoring (9th), IT Operations Analytics (3rd), Mobile APM (3rd), Cloud Monitoring Software (5th), AIOps (4th)
 

Mindshare comparison

As of February 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Gigamon Deep Observability Pipeline is 0.5%, up from 0.1% compared to the previous year. The mindshare of New Relic is 4.0%, down from 7.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
New Relic4.0%
Gigamon Deep Observability Pipeline0.5%
Other95.5%
Application Performance Monitoring (APM) and Observability
 

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.
BasilJiji - PeerSpot reviewer
System Engineer at a retailer with 10,001+ employees
Real-time alerts have reduced server outage impact and support fast incident response
In the dashboard, if they could show a little more metrics regarding the application and related things, that would be how New Relic could be improved. Currently, there are things showing from the server level and application level, but it can be improved. That is what I felt. Regarding user interface, I do not feel much concern, but for some kind of issues when we are trying to get support from the New Relic team, their SLA seems to be long. They are taking seven to ten working days for resolving some kind of scenario or issue. That is a bit difficult for us. If they could improve the customer support by reducing their SLA within three to five days, if they could remediate everything, that will be so much helpful. When it comes to the customer support part, I felt they need to be a little more improved on that part. The support overall is good, but they can improve. That is the reason I have given it eight out of ten.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Healthcare Company
8%
Manufacturing Company
8%
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
8%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business65
Midsize Enterprise50
Large Enterprise76
 

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?
For our end-to-end use case, New Relic is completely satisfactory, and we extensively rely on its features for our day-to-day life. I would like to have more AI and ML-based suggestions and algorit...
 

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: February 2026.
881,665 professionals have used our research since 2012.