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DNIF HYPERCLOUD vs Logsign SOAR comparison

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Executive Summary

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

Torq
Sponsored
Ranking in Security Orchestration Automation and Response (SOAR)
4th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
12
Ranking in other categories
AI-SOC (1st), AI-Powered Security Automation (1st)
DNIF HYPERCLOUD
Ranking in Security Orchestration Automation and Response (SOAR)
28th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (46th), Security Information and Event Management (SIEM) (46th), User Entity Behavior Analytics (UEBA) (19th)
Logsign SOAR
Ranking in Security Orchestration Automation and Response (SOAR)
32nd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of Torq is 3.8%, down from 5.5% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 1.6%, up from 0.3% compared to the previous year. The mindshare of Logsign SOAR is 0.5%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR) Mindshare Distribution
ProductMindshare (%)
Torq3.8%
DNIF HYPERCLOUD1.6%
Logsign SOAR0.5%
Other94.1%
Security Orchestration Automation and Response (SOAR)
 

Featured Reviews

AD
Solutions Architect at Swimlane
Automation has streamlined multi-tenant SOC workflows and improves alert handling efficiency
Although the reporting within Torq is not that great, we did ask for many features regarding reporting in Torq, but due to some platform constraints, they could not make the whole dataset available for us to be used in reporting. Except for that, we used some basic reporting. When I used Torq, it was indeed in the early stages of AI capabilities. Only a few customers were allowed to use it, and we were among them. It functioned well as long as we summarized the data properly. If you input garbage, you would get garbage out. Thus, we had to do significant fine-tuning regarding what data context we provided to the AI orchestrator to get meaningful results. In terms of Torq's unified platform approach to AI SOC automation and case management compared to managing multiple point solutions across my security stack, I find it case-centric. The unified view in case management is good since it provides clarity, although there are limitations regarding how many items in case management can be modified at once. Bulk operations are very limited, potentially due to their back-end database or data retrieval processes that can be improved. Regarding improvements for Torq, when we were onboarded, there were aspects we were uncertain about, such as the number of cases that could be generated, what data we could bring in, how many clients we could onboard, and similar concerns. Initially, we also lacked clarity about the number of playbooks or workflows we could build. Different triggers like system triggers, case-based triggers, and others can be employed without restrictions, but when it comes to on-demand and scheduled jobs, there is a limitation based on the subscription and pricing tier that notably caps the number of workflows we can create. No bulk editing across cases was one issue, along with limited filtering related to single grouping constraints. Additionally, the out-of-the-box case templates provided require substantial modifications before they become usable. There is also a feature in the cases for notes that cannot be searched. They are only visible through the UI, which is another area for improvement. The workflow and execution-based charges seem misleading as this was not discussed initially. I am not sure if new customers are made aware of this. It seems that workflows revolving around cases hinder functionality outside of case management, as we have many use cases needing on-demand triggers and schedules for functions like reporting or polling devices. Creating additional workflows to achieve basic functionalities raises costs significantly, which disadvantages customers. While they facilitate optimization and scaling, the support received tends to be very basic. Improvements can be made in that area as well.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Construction Company
10%
Comms Service Provider
10%
Construction Company
16%
Comms Service Provider
8%
Outsourcing Company
7%
Manufacturing Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise5
Large Enterprise5
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
No data available
 

Questions from the Community

What needs improvement with Torq?
I do not dislike anything about Torq because it has satisfied all of our use cases and requirements. We contacted sup...
What is your primary use case for Torq?
Initially, we were using Slack for small automations, such as creating pipelines or shutting down servers. For exampl...
What advice do you have for others considering Torq?
I have been working for five years with experience in the IT field. Torq is very good. It manages everything. I would...
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 ...
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 g...
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,...
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Overview

 

Sample Customers

Information Not Available
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
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Find out what your peers are saying about Splunk, Microsoft, Palo Alto Networks and others in Security Orchestration Automation and Response (SOAR). Updated: May 2026.
899,917 professionals have used our research since 2012.