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Datadog vs Gigamon Deep Observability Pipeline comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 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
6.4
Datadog boosts ROI by reducing downtime, enhancing reliability, optimizing resources, improving cost efficiency, and expediting issue resolution.
Sentiment score
4.8
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
Previously we had thirteen contractors doing the monitoring for us, which is now reduced to only five.
IT Manager at Liberty Mutual Insurance
Datadog has delivered more than its value through reduced downtime, faster recovery, and infrastructure optimization.
Sr. Cloud Infrastructure Engineer at a tech vendor with 51-200 employees
I believe features that would provide a lot of time savings, just enabling you to really narrow down and filter the type of frustration or user interaction that you're looking for.
QA Engineer at Townsquare Interactive
 

Customer Service

Sentiment score
6.7
Datadog offers knowledgeable support but has variable ticket resolution and communication challenges, with limited direct engineer access.
Sentiment score
5.4
Gigamon Deep Observability Pipeline's technical support is generally praised, though outsourced support presents challenges for some users.
When I have additional questions, the ticket is updated with actual recommendations or suggestions pointing me in the correct direction.
Applications Web Services Technical Engineer at Ace Hardware
Overall, the entire Datadog comprehensive experience of support, onboarding, getting everything in there, and having a good line of feedback has been exceptional.
Systems Administrator at Townsquare Interactive
I've had a couple instances where I reached out to Datadog's support team, and they have been really super helpful and very kind, even reaching back out after resolving my issues to check if everything's going well.
Security Engineer at Invitation Homes
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
 

Scalability Issues

Sentiment score
7.6
Datadog scales efficiently across diverse environments, handling increased workloads seamlessly, though costs may rise with extensive usage.
Sentiment score
6.5
Gigamon Deep Observability Pipeline excels in scalability, especially in cloud environments, accommodating large deployments with ease and flexibility.
Datadog's scalability has been great as it has been able to grow with our needs.
IT Manager at Liberty Mutual Insurance
We did, as a trial, engage the AWS integration, and immediately it found all of our AWS resources and presented them to us.
Systems Administrator at Townsquare Interactive
Datadog's scalability is strong; we've continued to significantly grow our software, and there are processes in place to ensure that as new servers, realms, and environments are introduced, we're able to include them all in Datadog without noticing any performance issues.
Senior Custom Software Development Consultant at a tech vendor with 501-1,000 employees
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its reliable performance with minimal downtime and quick resolution of occasional data import 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.
Datadog is very stable, as there hasn't been any downtime or issues since I've been here, and it's always on time.
Security Engineer at Invitation Homes
Datadog seems stable in my experience without any downtime or reliability issues.
Full Stack Developer at Townsquare Interactive
Datadog seems to be more stable, and I really want to have a complete demo before making a call to decide on this.
Enterprise solution architect at a manufacturing company with 10,001+ employees
 

Room For Improvement

Datadog struggles with complex pricing, customization needs, usability, and requires improved integration, training, and cost management for large organizations.
Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
It would be great to see stronger AI-driven anomaly detection and predictive analytics to help identify potential issues before they impact performance.
Operations Manager at a financial services firm with 1,001-5,000 employees
We want to be able to customize the cost part, and we would appreciate more granular access control.
Service Manager at PwC
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
Senior Software Engineer at Los Angeles Times Communications, LLC
 

Setup Cost

Datadog offers flexible pricing but can become costly with larger infrastructures; users appreciate low setup costs and initial free hosts.
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.
Senior Performance and Architecture Analyst at a manufacturing company with 10,001+ employees
Everybody wants the agent installed, but we only have so many dollars to spread across, so it's been difficult for me to prioritize who will benefit from Datadog at this time.
Applications Web Services Technical Engineer at Ace Hardware
My experience with pricing, setup cost, and licensing is that it is really expensive.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
 

Valuable Features

Datadog excels with real-time monitoring, integrations, intuitive dashboards, and analytics, enhancing observability and operational efficiency in complex environments.
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.
Senior Software Engineer at Los Angeles Times Communications, LLC
Having all that associated analytics helps me in troubleshooting by not having to bounce around to other tools, which saves me a lot of time.
Senior Site Reliability Engineer at a wholesaler/distributor with 5,001-10,000 employees
Datadog was able to find the alerts and trigger to notify our team in a very prompt manner before it got worse, allowing us to promptly adjust and remediate the situation in time.
Security Engineer at Invitation Homes
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
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
209
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Log Management (3rd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)
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 (10th), Data Loss Prevention (DLP) (31st), Security Information and Event Management (SIEM) (42nd), Web Application Firewall (WAF) (30th), Advanced Threat Protection (ATP) (24th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (17th)
 

Mindshare comparison

As of December 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 6.0%, down from 9.9% compared to the previous year. The mindshare of Gigamon Deep Observability Pipeline is 0.5%, 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 (%)
Datadog6.0%
Gigamon Deep Observability Pipeline0.5%
Other93.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Computer Software Company
13%
Manufacturing Company
7%
Healthcare Company
6%
Financial Services Firm
14%
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 Business80
Midsize Enterprise46
Large Enterprise98
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: December 2025.
879,310 professionals have used our research since 2012.