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Gigamon Deep Observability Pipeline vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 19, 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
4.8
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
Sentiment score
7.4
Organizations saw improved visibility, productivity, and efficiency, with reduced downtime and costs using Splunk Observability Cloud, enhancing KPIs.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
 

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
Splunk Observability Cloud support is generally responsive but can be slow, with improvement needed, especially in the APAC region.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
They often require multiple questions, with five or six emails to get a response.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
They did respond to us, but they did not explicitly inform us about the feature's absence.
 

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
Splunk Observability Cloud is scalable and flexible but can be costly, with challenges in data ingestion and implementation.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
 

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
8.0
Splunk Observability Cloud is highly stable, rated 8-10/10 for reliability, with minor issues usually from user configurations.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
 

Room For Improvement

Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
Splunk Observability Cloud requires improved integration, scalability, cost-effectiveness, ease of use, monitoring features, customization, and enhanced customer support.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
 

Setup Cost

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
Splunk Observability Cloud offers advanced features but can become costly as data volume and infrastructure needs grow.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It appears to be expensive compared to competitors.
Splunk is a little expensive, however, it is in line with the current market pricing.
 

Valuable Features

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
Splunk Observability Cloud offers seamless data integration, real-time insights, and efficient monitoring, enhancing performance visibility across diverse environments.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
 

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)
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
8th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
57
Ranking in other categories
Network Monitoring Software (6th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (7th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)
 

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 Splunk Observability Cloud is 2.0%, up from 0.9% 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…
Lakshmi Padaga - PeerSpot reviewer
Collaborates performance metrics with log data to pinpoint the exact cause of issues and offers error detection
Splunk APM is a robust tool with many capabilities. There are always areas for potential improvement to enhance its functionality and user experience. For Splunk APM, there could be simplified navigation, like streamlining the user interface to make navigation more intuitive for our users, especially those new to APM, which can enhance usability. We can provide more customization options for dashboards and visualizations to help users tailor the platform to their specific needs. There could be more integration capabilities with a wider range of third-party tools and platforms would also be beneficial. By focusing on these areas, Splunk APM can enhance its value proposition, improve user satisfaction, and better meet the evolving needs of organizations monitoring their application performance.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
13%
Healthcare Company
7%
Manufacturing Company
7%
Financial Services Firm
16%
Computer Software Company
14%
Government
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?
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 do you like most about SignalFx?
The most valuable feature is dashboard creation.
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
 

Also Known As

Gigamon, GigaSecure
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. Splunk Observability Cloud and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.