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Cribl vs Gigamon Deep Observability Pipeline 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
5.1
Cribl reduces log ingestion costs by 30%-60%, optimizing efficiency and ROI through competitive pricing and streamlined processes.
Sentiment score
4.8
Gigamon Deep Observability Pipeline boosts productivity and efficiency through reduced troubleshooting, improved security visibility, and optimized resource management.
What we've seen is really an overall reduction of just shy of 40% in our ingest into our SIM platform versus prior to having Cribl.
Senior Security Engineer at a university with 10,001+ employees
The second thing is that data aggregation, sampling, and reduction that we're able to do of the data, lowering our overall data volume, both traversing the network as well as what's being stored inside of our final solutions.
Director, Performance Engineering at a tech services company with 10,001+ employees
In terms of reduction, we were able to save almost ~40% of our total cost.
Sr. Lead Security Engineer at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
6.4
Cribl's technical support is praised for its expertise and accessibility, though some users note issues with complex problem handling.
Sentiment score
5.4
Gigamon Deep Observability Pipeline's technical support is generally praised, though outsourced support presents challenges for some users.
They had extensive expertise with the product and were able to facilitate everything we needed.
Security Consultant at Integrity360
Usually, within an hour, we get a response, and we are able to work with them back and forth until we resolve the issues.
Engineering Fellow at Pegasystems
Sometimes by hearing the problem itself, they will know what the solution is, and they will let us know how to resolve it, and we do it immediately.
Senior Specialist at a tech vendor with 10,001+ employees
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
6.7
Cribl is highly scalable and efficiently handles large log volumes, making it suitable for various business needs.
Sentiment score
6.5
Gigamon Deep Observability Pipeline excels in scalability, especially in cloud environments, accommodating large deployments with ease and flexibility.
The infrastructure behind Cribl Search is also scalable as it uses a CPU and just spawns horizontally more instances as it demands and requires.
Engineering Fellow at Pegasystems
Compared to other SIEM tools I use, any slight change on the operating system end impacts a lot on our SIEM tools and other things, but Cribl performs well in that regard.
Senior Software Engineer at a retailer with 1,001-5,000 employees
Cribl performs effectively across both market segments.
Principal at a hospitality company with 10,001+ employees
 

Stability Issues

Sentiment score
7.3
Cribl is highly stable with minimal issues; reliable performance often cited, with support mitigating occasional downtime and bug-related challenges.
Sentiment score
7.2
Gigamon Deep Observability Pipeline delivers stable, reliable performance in data centers, with high ratings despite minor issues in older systems.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
Sr. Lead Security Engineer at a tech vendor with 10,001+ employees
Regarding scalability, we started with zero servers and have around 285 servers now.
Senior Specialist at a tech vendor with 10,001+ employees
Cribl is designed to deal with certain kinds of loads and is not designed to handle any scenario in the market.
Security Delivery Senior Analyst at Accenture
 

Room For Improvement

Cribl faces performance, documentation, UI complexity, cost concerns, and scalability issues with desired enhancements in integrations, templates, and automation.
Gigamon Deep Observability Pipeline needs security enhancements, improved GUI, better performance, cloud support, and easier setup and hardware handling.
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
Manager for Monitoring and Logging at Velera
When passing query logs or DNS logs, if certain malicious query patterns need to be identified or if fast-flux attacks are happening, Cribl can report that and those would definitely be a plus for them.
Product Manager at UnDisclosed
I would advise others looking to implement Cribl that if they are evolving Cribl Search, it would be very interesting to see more capability, more flexibility, and more ways to share the data similar to Splunk.
Senior Manager at Deloitte
 

Setup Cost

Cribl is seen as cost-effective, with competitive pricing providing value, especially for data-intensive enterprises amid evolving costs.
Gigamon Deep Observability Pipeline is often seen as expensive, but pricing perceptions vary based on needs and roles.
Over time, the licensing cost has increased.
SIEM Engineer at National Australia Bank (NAB)
It was cheaper than the Splunk license.
Security Engineering Programme Manager at a government with 1,001-5,000 employees
Splunk is more expensive, and Cribl appears to be more affordable.
Principal at a hospitality company with 10,001+ employees
 

Valuable Features

Cribl offers an intuitive UI, data efficiency, and flexible integration, improving log processing and cost management for all users.
Gigamon Deep Observability Pipeline improves network visibility, performance, and security through advanced traffic analysis, integration, and process efficiencies.
The data reduction and preprocessing capabilities make Cribl really unique.
Security Consultant at Integrity360
Cribl has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events.
Security Engineer at Tecplix
The Cribl UI is very simple and easy to use, particularly when working with data from various sources; it makes it very easy to create pipelines, add complex logic to those pipelines, and then gives you a preview of what your data looks like before applying that pipeline and what you get after.
Senior Security Engineer at a university with 10,001+ employees
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

Cribl
Ranking in Application Performance Monitoring (APM) and Observability
6th
Ranking in Security Information and Event Management (SIEM)
6th
Average Rating
8.6
Reviews Sentiment
6.8
Number of Reviews
64
Ranking in other categories
Log Management (3rd), Observability Pipeline Software (1st)
Gigamon Deep Observability ...
Ranking in Application Performance Monitoring (APM) and Observability
41st
Ranking in Security Information and Event Management (SIEM)
43rd
Average Rating
8.6
Reviews Sentiment
6.5
Number of Reviews
9
Ranking in other categories
Event Monitoring (15th), Data Loss Prevention (DLP) (34th), Web Application Firewall (WAF) (34th), Advanced Threat Protection (ATP) (25th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)
 

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Cribl is 1.2%, up from 0.9% compared to the previous year. The mindshare of Gigamon Deep Observability Pipeline is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Cribl1.2%
Gigamon Deep Observability Pipeline0.7%
Other98.1%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Aman Verma - PeerSpot reviewer
Senior Software Engineer at a retailer with 1,001-5,000 employees
Has helped reduce daily log volume significantly and streamline data routing across multiple destinations
Regarding complexity, as I mentioned before, Cribl is very simple to use. When I started 2.5 years ago, it was very easy to learn. I learned Cribl within a week, and even though I was a fresher at the time, it was easy to understand and not complex enough that someone would need to spend money on labs. It's not that complex to learn. Regarding cost efficiency, it's very good because nowadays the SIEM tools we use are too expensive on license, and SIEM tools base their license on how many logs get ingested. The unwanted logs, particularly firewall logs, represent a significant portion of unnecessary ingestion. Cribl saves our license by filtering out half of the firewall logs that are unwanted. Our main purpose for using Cribl is to save our license and save money. Currently, everyone is moving toward AI agents. We currently use regex, and AI agents could help us create those regex patterns to drop events or add raw data to events. Currently, we sit down, review the logs, and create regex patterns manually, which can be time-consuming. An AI agent could reduce this time. I read some articles indicating that Cribl Cloud has started using AI and considering MCPs and model context, but I'm not certain how far along they are. If Cribl asked me what they could improve, that would be my suggestion. The support is very good, and I had a few issues with Cribl where I raised support cases and received good responses, which is better than the quick response I didn't get from other SIEM tools and vendor tools I use. Compared to other SIEM tools, Cribl is cheaper than Splunk and DataDogs. However, it's still a bit expensive from my point of view, though I won't call it expensive. Overall, I think 99% of companies use Cribl before their SIEM tools, and compared to SIEM tools, Cribl is cheaper. Companies can use any SIEM tool such as Google, Splunk, or Cisco, and Cribl is cheaper than those SIEM tools. They might have a slight chance to reduce costs further, but I'm not the correct person to evaluate that since I'm more focused on the operational side. Regarding training, it was quite easy to grasp. It took me almost a week to understand the basic functionalities and what Cribl does. Getting more expertise took additional time, but basic functionalities and understanding what Cribl does took around four to five days. One point I want to mention is that Cribl could improve their labs or training materials in their Cribl Cloud or whatever portal they have.
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
19%
Manufacturing Company
12%
Healthcare Company
6%
Government
5%
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise8
Large Enterprise34
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
 

Questions from the Community

What is your experience regarding pricing and costs for Cribl?
I find the pricing of Cribl to be cost-efficient because it has helped us save costs for data storage by removing unwanted logs.
What needs improvement with Cribl?
One improvement Cribl could work on is Cribl's Git integration. If I want to integrate my private repository, I can do this, but there is a specific format required in Git. If I commit something to...
What is your primary use case for Cribl?
We started using Cribl one year ago for data optimization. Currently, we are using Cribl for its one terabyte ingestion that is free, which is one significant advantage. We are using it for that pu...
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...
 

Also Known As

No data available
Gigamon, GigaSecure
 

Overview

 

Sample Customers

Information Not Available
Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds
Find out what your peers are saying about Cribl vs. Gigamon Deep Observability Pipeline and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.