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Datadog vs Gigamon Deep Observability Pipeline comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 13, 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
7.0
Datadog enhances visibility, reduces downtime, saves costs, and optimizes workflows by integrating features and improving operational efficiency.
Sentiment score
4.8
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
 

Customer Service

Sentiment score
7.1
Datadog's customer service is responsive and knowledgeable, though some users report delays with complex queries and phone support.
Sentiment score
5.4
Gigamon Deep Observability Pipeline's technical support is generally praised, though outsourced support presents challenges for some users.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
 

Scalability Issues

Sentiment score
7.6
Datadog efficiently scales with cloud services, offering seamless expansion, though users highlight the importance of monitoring pricing.
Sentiment score
6.5
Gigamon Deep Observability Pipeline excels in scalability, especially in cloud environments, accommodating large deployments with ease and flexibility.
 

Stability Issues

Sentiment score
8.0
Datadog offers reliable and stable performance with minimal downtime, impressive uptime, and efficient monitoring, even during peak periods.
Sentiment score
7.2
Gigamon Deep Observability Pipeline delivers stable, reliable performance in data centers, with high ratings despite minor issues in older systems.
 

Room For Improvement

Datadog needs improved performance, interface simplification, clearer billing, better integration, customization, analytics, documentation, security, and mobile app integration.
Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
In future updates, I would like to see AI features included in Datadog for monitoring AI spend and usage to make the product more versatile and appealing for the customer.
There should be a clearer view of the expenses.
 

Setup Cost

Datadog offers flexible pricing based on usage and organization size, with potential for high costs if not monitored closely.
Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
The setup cost for Datadog is more than $100.
 

Valuable Features

Datadog offers intuitive, comprehensive monitoring and integrations, enhancing infrastructure and application management with real-time insights and efficient operations.
Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Log Management (4th), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
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) (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)
 

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 7.4%, down from 10.4% compared to the previous year. The mindshare of Gigamon Deep Observability Pipeline is 0.4%, up from 0.1% 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 (%)
Datadog7.4%
Gigamon Deep Observability Pipeline0.4%
Other92.2%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

reviewer820579 - PeerSpot reviewer
Single pane of glass, easy to share dashboards, and good for monitoring
We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.
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…
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
14%
Manufacturing Company
8%
Retailer
6%
Financial Services Firm
15%
Computer Software Company
12%
Healthcare Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise42
Large Enterprise82
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

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...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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.
 

Also Known As

No data available
Gigamon, GigaSecure
 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Find out what your peers are saying about Datadog vs. Gigamon Deep Observability Pipeline and other solutions. Updated: September 2025.
869,771 professionals have used our research since 2012.