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DNIF HYPERCLOUD vs Quest InTrust [EOL] comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 26, 2025

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
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (42nd), Security Information and Event Management (SIEM) (46th), User Entity Behavior Analytics (UEBA) (20th), Security Orchestration Automation and Response (SOAR) (28th)
Quest InTrust [EOL]
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Kishore Tiwari - PeerSpot reviewer
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.
it_user700032 - PeerSpot reviewer
Cyber and Information Security Officer at a energy/utilities company
Technical support is knowledgeable and quick to respond
It is used for compliance Gathering information Scheduling It needs to have better reporting.  More than five years. We have not encountered any issues with stability. We have not encountered any issues with scalability. I would rate the technical support very well as they are…

Quotes from Members

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

Pros

"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"It was one of the first SIEM tools I saw that had that particular MITRE table."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"Has a great search capability."
"The response time on queries is super-fast."
"If you're an enterprise company and want to scale your productivity for log monitoring purposes, I found DNIF a better option than Splunk which has more complex software."
"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 most valuable feature of the solution is the number of EPS it can handle."
"​I would rate the technical support very well as they are knowledgeable and quick to respond​."
"We have not encountered any issues with stability."
 

Cons

"Dependency on the DNIF support team was frustrating."
"There are currently some issues with machine learning plug-ins."
"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."
"DNIF HYPERCLOUD is not a stable product compared to other tools like IBM QRadar."
"The solution's command line should be simpler so that routine commands can be used."
"The solution should be able to connect to endpoints, such as desktops and laptops... If this solution had a smart connector to these logs- Windows, Linux, or any other logs - without affecting the performance of the connector, that would be wonderful."
"The EBA could be improved."
"​It needs to have better reporting. ​"
"​It was very complex. There was poor native correlation. ​"
 

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."
"Do a PoC. Make it detailed so it can help later."
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Top Industries

By visitors reading reviews
Construction Company
14%
Outsourcing Company
14%
Comms Service Provider
11%
Financial Services Firm
8%
Construction Company
15%
Financial Services Firm
11%
Energy/Utilities Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
No data available
 

Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Platinum Bank
Find out what your peers are saying about Splunk, Wazuh, Cribl and others in Log Management. Updated: October 2026.
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