Gigamon Deep Observability Pipeline vs InfoScale comparison

Gigamon Deep Observability ...

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Executive Summary

We performed a comparison between Gigamon Deep Observability Pipeline and InfoScale based on real PeerSpot user reviews.

Find out in this report how the two Data Loss Prevention (DLP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Gigamon Deep Observability Pipeline vs. InfoScale Report (Updated: July 2026).

Gigamon Deep Observability Pipeline vs. InfoScale

July 2026

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Helped 909,725 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Gigamon Deep Observability ...

Ranking in Data Loss Prevention (DLP)

33rd

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (42nd), Event Monitoring (15th), 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)

InfoScale

Ranking in Data Loss Prevention (DLP)

19th

Average Rating

8.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (26th), High Availability Clustering (1st), Disaster Recovery (DR) Software (14th), Data Storage for Kubernetes (2nd), Autonomous Operational Resilience (4th)

Mindshare comparison

As of August 2026, in the Data Loss Prevention (DLP) category, the mindshare of Gigamon Deep Observability Pipeline is 0.5%, up from 0.2% compared to the previous year. The mindshare of InfoScale is 0.1%. It is calculated based on PeerSpot user engagement data.

Data Loss Prevention (DLP) Mindshare Distribution
Product	Mindshare (%)
InfoScale	0.1%
Gigamon Deep Observability Pipeline	0.5%
Other	99.4%

Data Loss Prevention (DLP)

Featured Reviews

TuanNguyen13

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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TABISH JAVED

Site Reliability Engineer (Certified) at Kyndryl India

Automated recovery has minimized downtime and supports seamless multi‑datacenter failover

Beyond pricing, there are areas where I would like to see InfoScale improved or enhanced. Veritas offers three management approaches. The first, which Veritas currently recommends, is Veritas Operation Manager. The second is the Cluster Manager Java Console graphical interface. The Cluster Manager Java Console has not been revised since version 6.1 or 6.2. This tool was critical for me, particularly valuable when managing small cluster footprints of 20 to 30 server nodes. I relied heavily on this tool, but Veritas has moved away from it in favor of Operation Manager. I recommend Veritas continue evolving this tool rather than discarding it. The third approach is the command line, suitable for individuals with extensive Veritas expertise and experience, but command line use in live environments consumed excessive time, leading me to prefer the graphical interface. Apart from pricing, I have not discovered disadvantages. The product is excellent. My concern is Veritas discarding the Cluster Manager Java Console in favor of Veritas Operation Manager. Setting up Operation Manager requires time and a dedicated server that runs continuously. I had to create a single server just for Veritas Operation Manager. While this works well for larger environments with hundreds of clusters, it is less useful for smaller deployments. I still recommend Veritas reconsider this application and evolve it by incorporating new features from Veritas Operation Manager. Adding these new features to the Java console would be beneficial because that tool runs on my laptop without consuming environment resources, and I can connect directly to clusters from my laptop. I am not opposing Veritas Operation Manager, which is excellent and resembles hardware management consoles for power machines, but smaller tools that previously performed these tasks should remain as options to provide clients with greater ease. From a features and functionality perspective, I do not find missing features in InfoScale at this moment. However, I am not actively using Veritas, managing only legacy machines on older hardware. I am upgrading operating systems but not Veritas due to contract expiration and end-of-life status. The contract is not being renewed because the customer wants to move away. Since I have not logged into VCS since 2021 and transferred responsibilities to another team, I am unaware of features arriving in version 8 or beyond and cannot comment specifically on recent Veritas introductions.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security."

"The tool's most valuable feature is the encryption feature. From a security perspective, the solution hasn't significantly strengthened our security posture. However, it has greatly improved performance by streamlining encryption processes and avoiding encryption at multiple layers. This has also simplified troubleshooting, as we can whitelist certain processes."

"The most valuable feature for improving network visibility with Gigamon is the packet filtering capability."

"The most valuable feature is NetFlow."

"We use Gigamon for network visibility."

"It is a good product. It provides network visibility, which is important. Gigamon can bring some optimizations to my network. It is helpful for security inspection, and it makes my firewall work fast because my firewall doesn't have to do the inspection of the SSL connections, for example."

"The solution is straightforward to set up."

"It offers straightforward integration."

More Gigamon Deep Observability Pipeline pros

"In a live incident scenario, the data replication process occurs in real-time, and compared to other products, this data replication feature works effectively, ensuring data availability, and we can implement this scenario using Veritas Volume Replication (VVR), which is the most usable feature in InfoScale for data replication."

"The best feature is that it supports high availability and automatic failover, which minimizes downtime and helps the environment reduce downtime and improve high availability for critical applications."

"The best feature in InfoScale is the file system, which is the greatest feature as you can get any storage LUN from any hardware because it's software-defined and create a volume that can consist of storage from two or more different vendors, which avoids any vendor lock-in and makes it easier when you expand as time goes."

"It integrates well with other solutions."

"InfoScale's ability to maintain data integrity and availability during a cyber event such as a ransomware attack is excellent."

"It offers High Availability for many applications, including Oracle and SAP environment."

"It's a stable solution."

"From a recovery standpoint, InfoScale is excellent and easy to manage."

More InfoScale pros

Cons

"They should increase the solution's cluster capacity."

"Its filtering feature needs improvement."

"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."

"The Gigamon Deep Observability Pipeline should have a feature showing the traffic flow within its platform. Currently, customers have to use separate tools for monitoring, which is inconvenient. If it had its visibility feature, it would make monitoring easier and more complete without needing extra tools."

"The challenge is monitoring the cloud network."

"It only inspects a specific kind of traffic. There should be different kinds of use cases."

"In terms of improvement, while the initial setup is not overly complicated, we did encounter a few issues."

"The graphical user interface could be improved."

More Gigamon Deep Observability Pipeline cons

"It could be more stable and more secure."

"Many customers can see the benefit of InfoScale, but they are usually not able to purchase the product because the license cost is very high."

"While InfoScale is mainly used by enterprise-level customers, it does not inherently support many applications, which presents a scalability issue."

"It's very difficult to implement."

"My experience with pricing, setup cost, and licensing is that it is a bit expensive, but rather than that, because it is used in critical environments with no competitor, most of the customers go for it anyways."

"Many customers can see the benefits of InfoScale, but they are usually not able to buy the products and solutions because of the licensing costs."

"Based on my experience with support, I would rate them a nine, only because occasionally the first person I talk to does not know more than I do and it needs to be escalated to reach someone more knowledgeable."

"My experience with pricing, setup cost, and licensing indicates that pricing is a little higher and should be reduced since most companies cannot afford it."

More InfoScale cons

Pricing and Cost Advice

"The solution's price is reasonable."

"The solution is highly-priced."

"I would rate the solution as expensive, around an eight or nine out of ten. There are other competitive solutions available."

"Our clients pay for licensing on a yearly basis."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

Computer Software Company

Comms Service Provider

Financial Services Firm

18%

Manufacturing Company

Outsourcing Company

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	3
Large Enterprise	4

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?

What is your experience regarding pricing and costs for Veritas InfoScale Availability?

My experience with pricing, setup cost, and licensing is that it is a bit expensive, but rather than that, because it is used in critical environments with no competitor, most of the customers go f...

What needs improvement with Veritas InfoScale Availability?

InfoScale can be improved if it added more robust reporting features; it has reporting, but it is very simple. If it created an integration with a reporting tool that makes it official, customers c...

What is your primary use case for Veritas InfoScale Availability?

My main use case for InfoScale is that we use it in many scenarios. In some scenarios, we use it for clustering for a product like Enterprise Vault, using InfoScale Enterprise, where we handle the ...

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Product Reports

Download Gigamon Deep Observability Pipeline product report

Event Monitoring

August 2026

Gigamon Deep Observability Pipeline report

Download InfoScale product report

August 2026

Also Known As

Gigamon, GigaSecure

Veritas InfoScale Availability, Arctera InfoScale for Kubernetes

Overview

Gigamon Deep Observability Pipeline boosts network visibility and performance through features like NetFlow and deduplication, facilitating data flow insights and improved security. It supports traffic monitoring and management across various infrastructures.

Gigamon Deep Observability Pipeline enhances network management by offering features such as NetFlow, deduplication, header stripping, and packet filtering. These capabilities are instrumental in optimizing performance, offering users stability and improved encryption processes. Despite its robust hardware capabilities, it requires enhancements in security, filtering, and delivery time for hardware. Users note challenges with monitoring cloud networks and insufficient cluster capacity. There is also a call for improved interface design and internal traffic flow visualization.

What are the essential features of Gigamon Deep Observability Pipeline?

NetFlow: Provides comprehensive visibility into network traffic for informed decision-making.
Deduplication: Reduces unnecessary data replication, enhancing performance and efficiency.
Header Stripping: Streamlines data packets by removing unnecessary headers, improving speed.
Packet Filtering: Enables selective traffic analysis for targeted network insights.
Traffic Aggregation: Consolidates and transforms network data, aiding detailed packet analysis.

What benefits and ROI can be expected from Gigamon Deep Observability Pipeline?

Enhanced Security: Improves data integrity and threat detection capabilities.
Operational Efficiency: Streamlines traffic monitoring and performance processes.
Improved Data Insights: Offers comprehensive data flow analysis for better decision-making.
Hardware Stability: Provides reliable performance with robust hardware support.
Encryption Optimization: Simplifies the encryption process for secure data handling.

Gigamon Deep Observability Pipeline finds application across industries for network visibility and management. It is used extensively for traffic monitoring, SSL inspection, mobile network oversight, and data center operations. Organizations leverage its capabilities to address network issues, enhance security, and streamline performance monitoring processes. Its ability to group traffic aids significantly in problem-solving and SSL detection.

Gigamon

InfoScale delivers robust data availability and protection for enterprises by managing critical workloads across hybrid cloud environments, ensuring minimal downtime and seamless performance.

InfoScale is designed to enhance data resilience and operational efficiency. By enabling quick data access across hybrid infrastructures, it reduces potential downtime and enhances business continuity. Its scalable architecture adapts to dynamic workloads, providing reliable performance under pressure while maintaining seamless integration with cloud-based solutions.

What are the key features of InfoScale?

Data Resiliency: Ensures continuous data availability through advanced clustering and replication technologies.
Scalability: Supports dynamic scaling to meet changing demands without compromising performance.
Cloud Integration: Offers seamless transition and operation within cloud environments.
Automated Operations: Streamlines management processes with automation to reduce manual intervention.

What benefits and ROI should users consider?

Increased Uptime: Improved reliability translates to reduced business interruption.
Cost Efficiency: Potentially lowers operational costs through optimized resource allocation.
Enhanced Security: Provides robust protection measures for critical data assets.
Operational Agility: Facilitates swift adaptation to evolving business requirements.

InfoScale is particularly effective in sectors such as healthcare and finance where data integrity and uptime are crucial. Its implementation empowers industries to handle data-intensive operations efficiently, ensuring continuity and compliance with industry standards.

Sample Customers

Amica Insurance, College of William & Mary, Gamma, IntercontinentalExchange, OppenheimerFunds

Wayne State University, Zenith Mart