Try our new research platform with insights from 80,000+ expert users

Gigamon Deep Observability Pipeline vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 28, 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
6.9
Splunk Observability Cloud boosts ROI with improved efficiency, reduced downtime, faster problem resolution, and significant operational savings.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Senior Manager at a financial services firm with 10,001+ employees
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
General Manager at MOCOMSYS
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
IT Operations Engineer at ABC Supply Co. Inc.
 

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's customer service is responsive and helpful but experiences issues with delays and limited staffing in regions.
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
On a scale of 1 to 10, the customer service and technical support deserve a 10.
Systems Administrator at a insurance company with 1,001-5,000 employees
They have consistently helped us resolve any issues we've encountered.
Software Engineer at UKG
They often require multiple questions, with five or six emails to get a response.
Splunk Observability Expert
 

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
7.3
Splunk Observability Cloud scales well but can be costly, requiring careful management of pricing and metric limits.
We've used the solution across more than 250 people, including engineers.
Splunk Observability Expert
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
Application Developer at UMB Financial
I would rate its scalability a nine out of ten.
Senior Manager at a financial services firm 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
7.7
Splunk Observability Cloud offers reliable performance with minimal issues, quickly resolving occasional glitches, leading to high user satisfaction.
I would rate its stability a nine out of ten.
Head of DevOps at a tech services company with 1-10 employees
We rarely have problems accessing the dashboard or the page.
Splunk Observability Expert
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
General Manager at MOCOMSYS
 

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 needs improved integration, cost transparency, better UI, enhanced AI, customization, stability, and streamlined processes.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
IT Operations Engineer at ABC Supply Co. Inc.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
Systems Monitoring Engineer II at a government with 10,001+ employees
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Head of DevOps at a tech services company with 1-10 employees
 

Setup Cost

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
Splunk Observability Cloud is costly but offers negotiable and flexible pricing justified by its features and solutions.
Splunk is a bit expensive since it charges based on the indexing rate of data.
Senior Manager at a financial services firm with 10,001+ employees
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
Solutions Architect at Ikusi
It appears to be expensive compared to competitors.
Head of DevOps at a tech services company with 1-10 employees
 

Valuable Features

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
Splunk Observability Cloud offers user-friendly dashboards, AI analytics, and seamless integration, improving visibility, issue resolution, and operational performance.
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
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
Senior Manager at a financial services firm with 10,001+ employees
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk Observability Expert
It offers unified visibility for logs, metrics, and traces.
Administrator at a tech vendor with 10,001+ employees
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Application Performance Monitoring (APM) and Observability
39th
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Event Monitoring (11th), Data Loss Prevention (DLP) (32nd), Security Information and Event Management (SIEM) (43rd), Web Application Firewall (WAF) (31st), Advanced Threat Protection (ATP) (26th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
Splunk Observability Cloud
Ranking in Application Performance Monitoring (APM) and Observability
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
75
Ranking in other categories
Network Monitoring Software (6th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (6th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)
 

Mindshare comparison

As of January 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 Splunk Observability Cloud is 2.2%, up from 1.4% 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 (%)
Splunk Observability Cloud2.2%
Gigamon Deep Observability Pipeline0.5%
Other97.3%
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.
Dhananjay Dileep - PeerSpot reviewer
Senior Software Engineer at a consultancy with 10,001+ employees
Unified monitoring has improved end-to-end visibility and reduced detection time across apps
When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.
report
Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
881,082 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
11%
Healthcare Company
8%
Manufacturing Company
7%
No data available
 

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 Business20
Midsize Enterprise10
Large Enterprise47
 

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: December 2025.
881,082 professionals have used our research since 2012.