BigID Next vs Gigamon Deep Observability Pipeline comparison

BigID and Gigamon are both solutions in the Data Loss Prevention (DLP) category. BigID is ranked #8 with an average rating of 8.2, while Gigamon is ranked #32 with an average rating of 8.5. BigID holds a 2.7% mindshare in DLP, compared to Gigamon’s 0.5% mindshare. Additionally, 100% of BigID users are willing to recommend the solution, compared to 100% of Gigamon users who would recommend it.

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Executive SummaryUpdated on Jan 22, 2026

Gigamon Deep Observability Pipeline and BigID Next both compete in the network management and data governance categories. BigID Next has the upper hand due to its strong feature set and overall perceived value, despite Gigamon's advantages in pricing and support.

Features: Gigamon Deep Observability Pipeline excels in traffic intelligence, real-time data insights, and threat protection. It offers robust network data handling, packet filtering, and traffic transformation capabilities. BigID Next stands out with data discovery, classification, and privacy features, including compliance-oriented scanning and detailed data governance tools. Its ability to handle structured and unstructured data adds to its appeal in data governance.

Room for Improvement: Gigamon could benefit from enhanced data visibility and more intelligent traffic flow analysis for greater insight into network operations. Its use of additional tools for visibility suggests room for improvement in built-in intelligence. Additionally, further integration capabilities with third-party tools may enhance its utility. BigID Next could improve deployment simplicity, addressing intricate setup requirements to streamline initial integration. Expanding capabilities to cover more data storage types such as flash drives may also enhance its offering. Support for more intuitive scanning processes might improve user experience.

Ease of Deployment and Customer Service: Gigamon Deep Observability Pipeline offers simplified deployment supported by extensive customer assistance, making integration smooth. Its straightforward setup process, coupled with dedicated support, ensures user satisfaction. BigID Next, while offering robust support and guidance, can involve a more complex deployment process due to its comprehensive feature set. This complexity is balanced by strong support features that help address setup challenges effectively.

Pricing and ROI: Gigamon Deep Observability Pipeline generally presents competitive upfront costs, providing quick ROI and significant value for network monitoring solutions. This affordability makes it attractive for organizations focused on pricing efficiency. BigID Next, with its higher initial setup costs, outlines a longer ROI timeline. However, its extensive data management and compliance capabilities provide greater overall value, especially for organizations prioritizing data governance where data privacy and management are critical investment areas.

To learn more, read our detailed BigID Next vs. Gigamon Deep Observability Pipeline Report (Updated: April 2026).

Buyer's Guide

BigID Next vs. Gigamon Deep Observability Pipeline

April 2026

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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

Cloudflare One

Mindshare comparison

As of May 2026, in the Data Loss Prevention (DLP) category, the mindshare of Cloudflare One is 2.1%, up from 1.4% compared to the previous year. The mindshare of BigID Next is 2.7%, down from 4.4% 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.

Data Loss Prevention (DLP) Mindshare Distribution
Product	Mindshare (%)
BigID Next	2.7%
Cloudflare One	2.1%
Gigamon Deep Observability Pipeline	0.5%
Other	94.7%

Data Loss Prevention (DLP)

Featured Reviews

Cobe Van Coller

Network Architect at IP Dimension

Cloud security has improved remote access and has reduced costs for smaller client sites

I have used Cloudflare One's Identity-Aware Proxy, and it is quite straightforward from what I have seen so far. The app registration on the Azure side integrates fully into Cloudflare, and I am very satisfied with that part because it is easy to set up. The integration of Cloudflare One's Secure Web Gateway and Zero Trust Network Access works without any issues. That part is pretty automatic, and if you complete the rest of the setup, it comes together by itself with no issues from my side. What makes it nice is that we can actually start replacing on-site firewalls at this stage for the smaller clients because it does not matter if they go to a coffee shop or work from home; they are still secured by the same connection. The hops get shorter and you get better latency. We have done testing to see if it is better. One thing that we did notice with our proof of concept with our current client is that they have people connecting from the UK. When they used their previous VPN solution, uploading CAD drawings and other files to the server took a long time. They mentioned that it is much quicker on Cloudflare One's solution. I definitely believe that is part of the improved performance, and I am satisfied with that as well. What is nice about Cloudflare One is that it makes the setup easier and also easier to train technicians to maintain it. Compared to legacy systems, we do not need to get fancy firewalls in place that are costly. That is definitely also a cost-saver with Cloudflare One.

Read full review

Aniruddha Nath

Senior Security Consultant at a consultancy with 10,001+ employees

Data discovery has transformed compliance workflows and automation now speeds up requests and remediation

The best feature that BigID offers is data discovery and classification, which is the most powerful engine. It allows connecting to many different data sources, ranging from cloud to on-premises to structured to unstructured data. If there is no connector available, you can build your own classifiers as well. Regarding the custom classifier option, you can build custom classifiers using regular expressions, and I have done that if you know how to create regular expressions. Custom connectors are something you create to connect to a database where the connector is not available. BigID has positively impacted my organization as it's a very powerful tool, especially with the increasing regulatory compliances for different countries such as GDPR, CCPA, and India's recent DPDPA act. Having these tools in place greatly helps organizations avoid any penal charges for not being compliant with the regulatory compliances. For example, regarding compliance or reduced risks for my clients, the DSAR process I was talking about allows organizations to respond quickly to user data deletion requests under GDPR law, which traditionally has a 30-day or 60-day timeline. In larger organizations, when the number of requests is high, it becomes tedious. However, using DSAR automation with BigID, it's almost instantaneous; instead of 30 days, you can respond in just one day to what users have requested.

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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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Quotes from Members

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

Pros

"For Cloudflare Access, I am using the free plan...The most valuable feature is their protection."

"Cloudflare is simple to use."

"Cloudflare is by far the most effective solution that I have come across."

"This solution is easy to understand and easy to configure."

"Enables me to work from two locations."

"Cloudflare Access is a stable solution."

"It's a perfect solution from my perspective; it's easy to understand and easy to configure."

"The solution has different options that can be used to differentiate DDoS attacks."

More Cloudflare One pros

"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."

"BigID's scanning feature is its most valuable component."

"BigID offers different scan types for data discovery. The most powerful one is the full scan, which scans both data and metadata. However, the metadata scan is faster in comparison."

"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."

"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly."

"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."

"BigID has one of the best technical support teams."

"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly. Additionally, you can deploy to several other Microsoft platforms and you can use it for other things, like a bigger element or a report."

More BigID Next pros

"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 most valuable feature is NetFlow."

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

"It offers straightforward integration."

"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 solution is straightforward to set up."

"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."

More Gigamon Deep Observability Pipeline pros

Cons

"The onboarding process can be improved a little bit."

"Lacks a VPN feature to provide a secure connection to the data center."

"The pricing is an area that can be improved. Pricing, as far as I recall, was the source of our problems."

"Cloudflare One is not very powerful, but for what we require, it is basic and sufficient."

"There are premium tier live service and lower tier live service, so we opted for the lower tier. But there is no medium tier where we pay a little extra and get a bit more service. So if that can be improved."

"From a logging perspective, it is still a bit difficult to see exactly what users are being blocked with the current views."

"The free plan has limitations. For example, I can only set up three rules, and the application firewall is unavailable."

"Our customers no longer use Cloudflare because its service is subpar."

More Cloudflare One cons

"BigID is making some forays into the GRC space, and that's a natural progression. I'd like to see that improve so that data governance is better, data risk is identified, and the ability to control and mitigate it."

"In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once."

"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."

"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."

"More classifications about different states are needed"

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools."

"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."

"The challenge we encountered was with data connection across multiple databases. We struggled with configuring the data connection successfully. However, with the assistance of dynamic teams, we resolved this issue."

More BigID Next cons

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

"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 security should be improved."

"It only inspects a specific kind of traffic."

"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."

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

"Its filtering feature needs improvement."

"The graphical user interface could be improved."

More Gigamon Deep Observability Pipeline cons

Pricing and Cost Advice

"The prices are slightly expensive."

"The price tag is no longer $200,000, but rather $300,000 to $400,000. It's twice."

"My company has to make yearly payments towards the licensing costs attached to the solution. There are no hidden charges apart from the licensing costs of the solution."

"The solution's pricing lacks transparency."

"The pricing is somewhere in the middle. I would rate the pricing a seven out of ten."

"Cloudflare Zero Trust Platform's pricing is good."

"The pricing of the solution is cheap. The licensing cost is also very low. I rate the cost and pricing a three out of ten."

"The solution is not that expensive."

"The pricing depends. If you have thousands of data sources to connect and manage, and you struggled with an MDM package in the past, you'll find BigID valuable and even cheap. But if you're a small business, it's probably not the right tool for you."

"The solution is expensive."

"I think that BigID's pricing is very reasonable."

"The solution is not licensed per user but rather based on capacity. For instance, organizations with large amounts of data, such as 50 GB or more, are the ones that typically qualify for BigID."

"The product is expensive, but so are all competitor tools"

"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."

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Top Industries

By visitors reading reviews

Construction Company

20%

Comms Service Provider

11%

Financial Services Firm

Manufacturing Company

Financial Services Firm

20%

Manufacturing Company

Insurance Company

Comms Service Provider

Financial Services Firm

14%

Computer Software Company

10%

Comms Service Provider

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	1
Large Enterprise	12

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

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

Questions from the Community

What needs improvement with Cloudflare Access?

Cloudflare Access has strong integration with Microsoft, among other platforms. However, when it comes to Kaspersky, ...

See all answers

What is your primary use case for Cloudflare Access?

Cloudflare Access provides secure access to internal applications for employees, external members of the organization...

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What advice do you have for others considering Cloudflare Access?

Cloudflare Access is one of the best integrations available. While about two hundred vendors offer similar services, ...

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What do you like most about BigID?

I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a stan...

See all answers

What needs improvement with BigID?

One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some ...

See all answers

What is your primary use case for BigID?

BigID's main use case is connecting to various data sources to perform the data discovery process, classify the data ...

See all answers

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 S...

See all answers

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.

See all answers

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 ...

See all answers

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Compared 8% of the time

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Compared 7% of the time

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Product Reports

Buyer's Guide

Cloudflare One

May 2026

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Buyer's Guide

BigID Next

May 2026

Download BigID Next product report

Buyer's Guide

Event Monitoring

May 2026

Gigamon Deep Observability Pipeline report

Download Gigamon Deep Observability Pipeline product report

Also Known As

Cloudflare Area 1 Email Security, Cloudflare Bot Management, Cloudflare Gateway, Cloudflare Zero Trust Platform, Cloudflare DDoS, Cloudflare SASE & SSE Platform

No data available

Gigamon, GigaSecure

Overview

Cloudflare One is a comprehensive platform for security, performance, and connectivity. It provides features like rate limiting, DDoS protection, and application access, tailored to enhance user experience while securing internet access and accelerating communications.

Designed to integrate security measures with ease of use and scalability, Cloudflare One offers a secure web gateway and zero trust network access. These features ensure seamless setup and operation, making connectivity reliable and protected. Users appreciate its integrated console, intuitive interface, and the ability to manage risk effectively. It offers straightforward deployment, improves latency, and boasts cost-effectiveness. While its onboarding process and documentation need enhancement, its value in content delivery and application shielding is notable. Despite challenges in integrating Cloudflare Access with existing VPNs and the need for better automation and support, it remains vital for DNS and infrastructure protection.

What features make Cloudflare One stand out?

Rate Limiting: Controls the traffic rate to prevent abuse.
DDoS Protection: Shields applications from distributed denial-of-service attacks.
Secure Web Gateway: Provides secure internet access with seamless operation.
Zero Trust Network Access: Ensures secure, application-based connectivity without relying on traditional VPNs.
Access for Connectivity: Facilitates access to internal applications securely.

What benefits should users look for in reviews?

Security: Robust measures for DNS and browsing protection.
Performance: Enhanced site accessibility and communication speed.
Cost-Effectiveness: Offers competitive pricing for its features.
Ease of Deployment: Straightforward and efficient setup process.

In industries like finance, retail, and technology, Cloudflare One is crucial for enabling secure remote access and protecting web applications against dynamic threats. It supports compliance access policies and enhances content delivery, playing a key role in safeguarding digital infrastructure.

Cloudflare

BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.

BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.

What features does BigID Next offer?

User-Friendly Interface: Easily navigable for streamlined data operations.
Microsoft Integration: Seamless compatibility with Microsoft platforms.
Data Scanning Capabilities: Efficiently scans structured and unstructured data.
Data Classification and Discovery: Identifies and categorizes sensitive data.
Security Labels: Supports predefined and custom security labels.
Automation for PII Requests: Automates privacy request management.
Compliance Adherence: Aligns with GDPR and CCPA requirements.
Scheduling Scans: Facilitates planned data assessments.
Machine Learning: Enhances data mapping, auditing, and management.

What benefits should users look for?

Enhanced Compliance: Supports adherence to major privacy laws like GDPR and CCPA.
Data Mapping Efficiency: Improves data locating and classification.
Automation Features: Saves time with automated data request handling.
Comprehensive Integration: Works well with existing security tools.
Holistic Data View: Offers clear insights into data storage and use.

BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.

BigID

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

Sample Customers

23andMe

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

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

Buyer's Guide

BigID Next vs. Gigamon Deep Observability Pipeline

April 2026

Free Report: BigID Next vs. Gigamon Deep Observability Pipeline

Find out what your peers are saying about BigID Next vs. Gigamon Deep Observability Pipeline and other solutions. Updated: April 2026.

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