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Gigamon Deep Observability Pipeline vs ThousandEyes 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
7.0
ThousandEyes delivers quick ROI by enhancing performance and efficiency, preventing downtime, and optimizing network issues, earning high user satisfaction.
 

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
7.1
ThousandEyes support is generally efficient and responsive, with high user satisfaction despite some suggestions for improvement.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
We contacted the support team, and they resolved it within a couple of hours.
 

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
7.4
ThousandEyes offers scalable performance, integrates well, and adapts to various environments, despite minor licensing cost concerns.
Scalability with ThousandEyes is straightforward as you don't really need to scale; it's designed to monitor multiple applications, accommodating 50 or 100 applications simultaneously.
 

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
ThousandEyes is dependable with minor bugs, high user satisfaction, rarely crashes, and effectively delivers promised features.
ThousandEyes is not very stable; sometimes you have to reboot the servers to get actual results.
 

Room For Improvement

Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
Users seek enhanced server monitoring, Cisco integration, better dashboards, improved customization, and comprehensive documentation in ThousandEyes.
An area where ThousandEyes can be improved is in providing more in-depth packet analysis; we've found instances where ThousandEyes indicates everything is okay, but it's actually not.
Having a dedicated incident alert system for URL alerts would help manage noise and streamline operations, especially during patch upgrades.
 

Setup Cost

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
ThousandEyes pricing is mid-range with yearly billing; ideal for large enterprises but challenging for smaller businesses.
 

Valuable Features

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
ThousandEyes provides comprehensive network monitoring with seamless Cisco integration, ensuring efficient troubleshooting, scalability, and visibility into network connections.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
I find the most valuable feature of ThousandEyes is the ability to directly see the client's exact issue.
The best features ThousandEyes offers include monitoring page load times, assessing how long it takes for an application to load, checking for packet loss and jitter, and monitoring the routing path from the user to the server hosted in the cloud or on-premises.
 

Categories and Ranking

Gigamon Deep Observability ...
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Application Performance Monitoring (APM) and Observability (40th), Event Monitoring (10th), Data Loss Prevention (DLP) (28th), Security Information and Event Management (SIEM) (46th), Web Application Firewall (WAF) (33rd), Advanced Threat Protection (ATP) (25th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (17th)
ThousandEyes
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
18
Ranking in other categories
Network Monitoring Software (7th), Cloud Monitoring Software (12th), Digital Experience Monitoring (DEM) (4th)
 

Mindshare comparison

While both are Network Management solutions, they serve different purposes. Gigamon Deep Observability Pipeline is designed for Event Monitoring and holds a mindshare of 1.1%, up 0.5% compared to last year.
ThousandEyes, on the other hand, focuses on Network Monitoring Software, holds 3.1% mindshare, down 3.9% since last year.
Event Monitoring Market Share Distribution
ProductMarket Share (%)
Gigamon Deep Observability Pipeline1.1%
ServiceNow IT Operations Management16.0%
OpsRamp12.9%
Other70.0%
Event Monitoring
Network Monitoring Software Market Share Distribution
ProductMarket Share (%)
ThousandEyes3.1%
Zabbix10.1%
SolarWinds NPM4.2%
Other82.6%
Network Monitoring Software
 

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…
Satyavrat Nirala - PeerSpot reviewer
Offers user monitoring and Internet insights and include customer journeys
It’s evolving; I feel it needs more holistic integration. It needs more improvement. It’s very good, but the integration can be slightly complicated on different platforms. I used it for a healthcare organization, and the integration was slightly challenging. In future releases, I would like to explore AI capabilities. AI would be more valuable because it works across different cloud and server systems. It looks into issue detection and insight modeling, so that is something I feel will be very helpful in the near future. More AI because of compliance and other challenges, not because of the product challenge. It’s about regulations, and we have HIPAA laws in the US and many different kinds of laws. Because of that, these specific elements and certain units don’t allow the tooling system to be fully utilized. We also support a certain segment of healthcare, which is the army healthcare segment, which is more government-controlled. There are certain restrictions in moving into the cloud. That’s where I thought those elements might need some more improvement. Also, looking into how we’ll be able to use more data visualization. It has it, but it doesn’t give you everything. If you look into the elements of use and so many other elements are there, but the UI/UX also has to be improved a bit, I feel. From a developer’s standpoint, it’s very easy, but from a consultant’s standpoint, there can be more enhancement, like one-click view and one-click report generation. Those things should be more seamless.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Healthcare Company
8%
Manufacturing Company
7%
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
9%
Government
7%
 

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 Business5
Midsize Enterprise3
Large Enterprise11
 

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.
What is the best network monitoring software for large enterprises?
It actually depends on the exact purpose or requirements. Some tools are better for only network devices while others are better from a cloud monitoring or APM monitoring perspective. You can check...
What needs improvement with ThousandEyes?
An area where ThousandEyes can be improved is in providing more in-depth packet analysis; we've found instances where ThousandEyes indicates everything is okay, but it's actually not. I would recom...
 

Also Known As

Gigamon, GigaSecure
No data available
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Wayfair, GitHub, Craigslist, Comcast, SurveyMonkey, Lyft, Box, HP, Zendesk, IO Data Centers, Good Technology, NNTCommunications, Proofpoint, Schneider, Crowdstrike, Avera, Pitney Bowes, InstartLogic, Shutterfly, Shutterstock, Condé Nast, Roche, Jive, Actelion, Brocade, Infor, Okta, JLL, DigitalOcean, Zuora, NetSuite, CloudFlare, One, DemonWare, Quantcast, Carbonite, CareerBuilder, Prosper, Oscar, Slack
Find out what your peers are saying about ServiceNow, OpsRamp, IBM and others in Event Monitoring. Updated: October 2025.
872,837 professionals have used our research since 2012.