DNIF HYPERCLOUD vs Gigamon Deep Observability Pipeline comparison

DNIF HYPERCLOUD vs. Gigamon Deep Observability Pipeline

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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

DNIF HYPERCLOUD

Ranking in Security Information and Event Management (SIEM)

46th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Log Management (46th), User Entity Behavior Analytics (UEBA) (19th), Security Orchestration Automation and Response (SOAR) (28th)

Gigamon Deep Observability ...

Ranking in Security Information and Event Management (SIEM)

43rd

Average Rating

8.6

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (43rd), Event Monitoring (15th), Data Loss Prevention (DLP) (33rd), Web Application Firewall (WAF) (32nd), Advanced Threat Protection (ATP) (25th), Network Packet Broker (NPB) (1st), Network Detection and Response (NDR) (16th)

Mindshare comparison

As of June 2026, in the Security Information and Event Management (SIEM) category, the mindshare of DNIF HYPERCLOUD is 1.1%, up from 0.4% 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.

Security Information and Event Management (SIEM) Mindshare Distribution
Product	Mindshare (%)
Gigamon Deep Observability Pipeline	0.5%
DNIF HYPERCLOUD	1.1%
Other	98.4%

Security Information and Event Management (SIEM)

Featured Reviews

Kishore Tiwari

Deputy General Manager - Information Security (Lead ISA) at a energy/utilities company with 1,001-5,000 employees

Development from open sources is very valuable but a huge infrastructure is required

The solution's command line should be simpler so that routine commands can be used. The search configuration is a bit different than other OEMs or SIEM solutions like ArcSight or QRadar that are easy to search because they operate similarly. The logic is there and the solution supplies a pretty good explanation. Basically, DNIF spelled out is the opposite of FIND. You have to find commands whenever you want to search something. For example, a highway gets you to your destination but there is an alternate way people don't yet know about. Gartner or Forrester haven't yet studied it. We were a bit nervous when we were trying to get familiar with the solution. We wondered if we could realize ROI because the commands and ways of pulling data were different to us. We raised a case with the support team and their professionals provided the needed support. The command line is user friendly once you understand it. If you need immediate use, then you might want to get assistance from someone who is well-versed in methods for using key patterns to find things. Lengthier files for threat hunting or analysis are needed. The correlation happens, but exporting a large number of files to abstract them is not possible. For example, I want to present raw data to management so I should be able to customize a date range in my query and download the files.

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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

"The response time on queries is super-fast."

"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."

"It was one of the first SIEM tools I saw that had that particular MITRE table."

"I like the MITRE table, a feature I saw for the first time in the same solution. There was one MITRE tactic table, which can be used to identify threats if you have all kinds of rules enabled or if you have rules for all the tactics in the MITRE table. There are 14 tables in MITRE, and those 14 tables consist of multiple columns, tactics, and techniques. It was one of the first SIEM tools I saw that had that particular MITRE table. On that basis, you can create new rules and identify existing ones. At any point, if an alert is triggered, it will try to match it to any of those MITRE tactics. I liked that creating a workbook on MITRE business was straightforward. I also like that you can search using SQL or DQL."

"The benefit of DNIF was that the solution was able to detect any anomalies and identify and prevent any possible security threats or attacks."

"Has a great search capability."

"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."

"The most valuable feature of the solution is the number of EPS it can handle."

More DNIF HYPERCLOUD 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."

"It offers straightforward integration."

"The most valuable feature is NetFlow."

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

"We use Gigamon for network visibility."

"It has high stability."

"The solution is straightforward to set up."

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

More Gigamon Deep Observability Pipeline pros

Cons

"The EBA could be improved."

"The solution should be able to connect to endpoints, such as desktops and laptops."

"DNIF HYPERCLOUD is not a stable product compared to other tools like IBM QRadar."

"I used version 8 which was not at all stable. The services and processor keep going down, we had to manually keep them up increasing storage space because services are down, and logs not processed."

"The vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product. If you ask them to move data, it might take a lot of time."

"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."

"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."

"Dependency on the DNIF support team was frustrating."

More DNIF HYPERCLOUD cons

"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. There should be different kinds of use cases."

"Its filtering feature needs improvement."

"The graphical user interface could be improved."

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

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

"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."

Pricing and Cost Advice

"The solution requires a huge infrastructure and that is costly."

"The pricing is based on the log size."

"Price-wise, the product is quite economical. I rate the solution's price as three or four on a scale of one to ten, where one is considered to be a very economically priced tool."

"The solution's price is reasonable."

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

"The solution is highly-priced."

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Top Industries

By visitors reading reviews

Construction Company

16%

Comms Service Provider

Financial Services Firm

Outsourcing Company

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

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

Questions from the Community

What needs improvement with DNIF HYPERCLOUD?

A lot of people don't know about DNIF HYPERCLOUD, but they do know about products like Splunk, QRadar, ArcSight, and some other SIEM solutions. DNIF is not a known name in the market. From an impro...

What is your primary use case for DNIF HYPERCLOUD?

DNIF HYPERCLOUD is a good SIEM solution. One of the tools' features is very high scalability in terms of the events generated per second. The product is aligned with the MITRE ATT&CK framework....

What advice do you have for others considering DNIF HYPERCLOUD?

The tool's ability in the area of its analytic capabilities has enhanced our company's security poster in a good way, especially when compared to some of the other competitors in the market, like S...

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?

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Product Reports

DNIF HYPERCLOUD

Download DNIF HYPERCLOUD product report

Event Monitoring

Download Gigamon Deep Observability Pipeline product report

Gigamon Deep Observability Pipeline report

Also Known As

No data available

Gigamon, GigaSecure

Overview

DNIF HYPERCLOUD provides efficient security monitoring with fast queries, user-friendly features, and built-in threat detection, offering open-source infrastructure support for improved performance.

DNIF HYPERCLOUD integrates with network devices, servers, and applications for comprehensive log collection and security monitoring, enhancing compliance through unauthorized activity detection. Its scalability and real-time alerting align with the MITRE ATT&CK framework, making it valuable for security operations centers and emergency response systems. While handling high EPS, it includes advanced features like threat hunting and malware detection, though it faces challenges with export limitations and backend dependencies.

What are DNIF HYPERCLOUD's key features?

Fast Query Response: Delivers quick data retrieval, enhancing analysis speed.
Effective Search: Advanced search capabilities with enhanced queries.
MITRE Table Integration: Aligns closely with MITRE ATT&CK framework for strategic security mapping.
User Entity Behavior Analytics: Supports rapid emergency responses through behavior analysis.
Built-in Threat Hunting: Proactively identifies potential threats and vulnerabilities.
Malware Detection: Detects and mitigates malware threats automatically.

What benefits and ROI should users expect?

High EPS Handling: Efficiently manages events per second for large-scale operations.
Cost-Effective Infrastructure: Utilizes open-source development, reducing dependency on licenses.
User-Friendly Interface: Easier to use than earlier versions and complex alternatives.
Compliance Support: Aids in maintaining compliance through log retention.
Threat Detection: Provides robust real-time alerting and log correlation.

In finance, DNIF HYPERCLOUD aids in detecting unauthorized transactions, ensuring regulatory compliance. In healthcare, it supports data protection and threat intelligence integration, while in manufacturing, it secures IoT devices and monitors cyber threats, integrating with existing systems for streamlined security operations.

NETMONASTERY

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

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank

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

DNIF HYPERCLOUD vs. Gigamon Deep Observability Pipeline