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Gigamon Deep Observability Pipeline vs Grafana 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
5.4
Organizations using Grafana achieved up to 250% ROI, reduced costs, and improved monitoring and response times significantly.
I can say the estimated return on investment was one hundred fifty percent to two hundred fifty percent within the first year due to the reduced downtime and faster troubleshooting.
Devops Engineer at AIQOD
I identified over-provisioned servers and reduced my AWS monthly bill by 15%, which is a significant saving in terms of costs.
System engineer at a retailer with 10,001+ employees
 

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
7.2
Grafana's support receives mixed feedback, with praise for both its responsive technical team and effective community resources.
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
The technical support team is very helpful with complex PromQL troubleshooting.
System engineer at a retailer with 10,001+ employees
My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.
Sr. DevOps at a tech vendor with 1,001-5,000 employees
The documentation is comprehensive, and the active community makes it easy to find solutions to common issues.
Devops Engineer at AIQOD
 

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
5.5
Grafana scales effectively with integrations, but some users find complexity and scaling costs challenging for extensive environments.
It is highly scalable and built on a big data architecture capable of ingesting trillions of data points.
System engineer at a retailer with 10,001+ employees
In terms of our company, the infrastructure is using two availability zones in AWS.
DevOps Team Lead at Kadabra
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
Sr. DevOps at a tech vendor with 1,001-5,000 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
7.9
Grafana is stable and reliable with minimal downtime, though resource optimization is key to maintaining performance and integration issues may occur.
Stable in the sense that we have experienced minimal downtime, and it performs reliably for day-to-day monitoring and dashboard visualization.
Devops Engineer at AIQOD
When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.
DevOps Team Lead at Kadabra
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
Sr. DevOps at a tech vendor with 1,001-5,000 employees
 

Room For Improvement

Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
Grafana's usability suffers from complex UI, limited reporting, and integration challenges; enhancements in security, AI, and flexibility are needed.
It would be better if they made the technology easy to use without needing to read extensive documentation.
AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)
Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs.
BI and Analytics Engineer at Sandvine Inc
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
Director of Engineering at a insurance company with 10,001+ employees
 

Setup Cost

Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
Grafana's open-source is cost-effective, but enterprise edition pricing varies by usage and infrastructure, with cloud options available.
There were no licensing costs.
Devops Engineer at AIQOD
In an enterprise setting, pricing is reasonable, as many customers use it.
Aplication Architect at Amazon
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it.
DevOps Team Lead at Kadabra
 

Valuable Features

Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
Grafana offers user-friendly dashboards, customizable visualizations, seamless integrations, effective alerts, scalability, and community support for enhanced monitoring.
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
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
Aplication Architect at Amazon
The fact that I can join data from my SQL database with metrics from Prometheus in the same table is a feature I have not found performed as well elsewhere.
System engineer at a retailer with 10,001+ employees
You can check those metrics in the incident management tool by filtering the alert source as Grafana, and it helps in reducing production incidents because you can acknowledge and visualize the metrics from Grafana on time.
Senior Site Reliability Engineer at a tech vendor with 501-1,000 employees
 

Categories and Ranking

Gigamon Deep Observability ...
Ranking in Application Performance Monitoring (APM) and Observability
42nd
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Event Monitoring (15th), Data Loss Prevention (DLP) (34th), Security Information and Event Management (SIEM) (41st), Web Application Firewall (WAF) (34th), Advanced Threat Protection (ATP) (24th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
Grafana
Ranking in Application Performance Monitoring (APM) and Observability
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
50
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Gigamon Deep Observability Pipeline is 0.7%, up from 0.2% compared to the previous year. The mindshare of Grafana is 2.6%, down from 6.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Grafana2.6%
Gigamon Deep Observability Pipeline0.7%
Other96.7%
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.
Vitthal Gole - PeerSpot reviewer
Devops Engineer at AIQOD
Proactive monitoring has transformed how our teams detect issues and resolve incidents faster
For improving Grafana, the alert configuration could be more intuitive for new users. Dashboard management becomes complex in large environments. So if we have multiple environments and we have to manage our dashboards for them, sometimes it becomes complicated to manage all the dashboards. The learning curve is steep for beginners. More built-in reporting and analytics features would be helpful. Documentation for advanced features could be more detailed. Role-based access management could be simpler to configure. Performance could be optimized for very large dashboards with high cardinality data sources. Grafana could improve its alert configuration workflow and make advanced dashboard management easier for new users. More built-in reporting features would also be beneficial. A simpler onboarding experience for first-time users and more built-in dashboard templates for common monitoring scenarios would be helpful. Grafana is a powerful monitoring platform, but it could improve dashboard organization in large environments, simplify alert management, provide more built-in reporting capabilities, enhance plugin compatibility during upgrades, and offer better AI-driven insights for fast root cause analysis. For example, if we are hitting a CPU metric of ninety to ninety-five percent or a system load of seventy to eighty percent, we have to act on that. But if Grafana suggests something on that metric, such as an AI suggestion, it would be more helpful. We could get an idea of how to solve that issue. For the Grafana dashboards, they could provide more built-in compliance and audit reporting, enhance AI recommendations with clearer explanations of why an issue was flagged, enhance accessibility and keyboard navigation, add more native integrations with emerging cloud and DevOps tools, and improve scalability for very large enterprise deployments. Grafana is a mature platform, but it could benefit from better dashboard version control, simpler environment migration, enhanced AI explanations, more built-in reporting, and improved performance for large-scale deployments with complex dashboards.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
9%
Comms Service Provider
8%
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
Comms Service Provider
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 Business14
Midsize Enterprise10
Large Enterprise27
 

Questions from the Community

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 advice do you have for others considering Gigamon Deep Observability Pipeline?
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, F...
What is your experience regarding pricing and costs for Grafana?
My experience with pricing, setup cost, and licensing is that it is very reasonable and has excellent community support.
What needs improvement with Grafana?
Currently, I do not think that any improvement is required, but there are multiple use cases.
What is your primary use case for Grafana?
My main use case for Grafana is to create and design dashboards based on the metrics provided by different exporters via Prometheus. We have different exporters, and we are creating different dashb...
 

Also Known As

Gigamon, GigaSecure
No data available
 

Overview

 

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Microsoft, Adobe, Optum, Sky, Nvidia, Roblox, Wells Fargo, BlackRock, Informatica, Maersk, Daimler Truck, SNCF, Atlassian, DHL, SAP, JPMorgan Chase, Cisco, Citi and many others.
Find out what your peers are saying about Gigamon Deep Observability Pipeline vs. Grafana and other solutions. Updated: August 2026.
908,834 professionals have used our research since 2012.