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DNIF HYPERCLOUD vs Google Security Operations comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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)
Google Security Operations
Ranking in Security Orchestration Automation and Response (SOAR)
14th
Average Rating
8.8
Reviews Sentiment
7.5
Number of Reviews
6
Ranking in other categories
Security Information and Event Management (SIEM) (27th), AI-Powered Cybersecurity Platforms (12th)
 

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 Google Security Operations is 3.7%, up from 2.2% 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%
Google Security Operations3.7%
DNIF HYPERCLOUD1.6%
Other90.9%
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.
CK
Technical Lead at a transportation company with 1,001-5,000 employees
Simplified detection rules and SOAR workflows have improved compliance-focused operations
One improvement I am looking for is silent log source monitoring. If some feed or some host went offline or was not pulling any logs into Google Security Operations, I would want better visibility. Silent host monitoring would make a significant difference because it is very hard to track which host went down, and there are many false positives as a result. I think there is a lot of room for scalability improvements, particularly in the integration of third-party applications. Currently, I have to write a script and use a cloud run function to pull logs. If there were direct ingestion by simply providing an API key and some sort of client certificate, it would be much easier.

Quotes from Members

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

Pros

"Using that one piece of AI, we auto-closed 511 cases in quarter four alone."
"Almost four or five hours of work is now completed in four or five minutes."
"Any request that comes in, regardless of how complex it is, I can accomplish it with Torq."
"As an analyst, it has demonstrated potential to reduce workforce requirements and time needed for related activities."
"Since we started working with Torq, I am handling much fewer alerts, it is becoming really easy for me to handle an alert, I have all the information that I need, I do not need to connect to different vendors to receive this information, and the main thing I got from Torq is time, which now helps me to build another automated system and learn."
"If I review about 100 vendors that I might work with, Torq is definitely in the top five that gave me personally investment back, just because every bit of effort I put into Torq eventually became a workflow that gave it back to me."
"Torq's unified platform approach to AI, SOAR, automation, and case management is superior compared to my experience managing multiple point solutions."
"Under one SOC tool in Torq, analysts get to know everything within the context of an alert or incident they are working on, and this ability to view the whole picture within Torq is one of the major breakthroughs and best offerings of Torq."
"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."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"The User Behavior Analytics is a built-in threat-hunting feature. It detects and reports on any kind of malware or ransomware that enters the network."
"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."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"Has a great search capability."
"The solution is quite stable and offers good performance, it also works on a virtual machine and we haven't found any issues with it so far, it's been reliable."
"Overall, Google SecOps is a very useful service for security operations."
"The playbooks feature in Siemplify is crucial for automation. We've utilized both standard and custom integrations with other security operation solutions, enhancing our flexibility. The user interface is generally straightforward, although recent changes may require some adjustment and Siemplify's integrations and capabilities offer potential support for various compliance requirements."
"Google Security Operations helps meet all the important regulatory compliance across all verticals."
"The valuable parts of Google Security Operations include how easy it is to write parsers or detection rules, and it is well-advanced in the analytical part."
"Without hyperbole, I have never, in my entire career, encountered a vendor or a vendor community as awesome as Siemplify. Siemplify and the Siemplify Community quite literally made it possible for our SOC to increase almost five-fold in our number of clients and number of analysts and to go from a Monday to Friday 9-5 shop to a 24/7 shop all in the span of under a year and a half and all while continually adding capabilities and improving the services we offer to our clients."
"Google SecOps is extremely useful for threat detection and hunting."
"The most valuable feature of Siemplify is the playbooks that can be created."
 

Cons

"The workflow and execution-based charges seem misleading as this was not discussed initially, and creating additional workflows to achieve basic functionalities raises costs significantly, which disadvantages customers."
"It was able to capture data but was unable to differentiate between the agent hostname we are using and the hostname that resides on the back end of the Internet."
"The initial deployment of Torq was not easy."
"Regarding stability, I have noticed some lagging, crashing, and downtime, which is one of my largest gripes."
"We have MCP that we are working with our cloud security platform, and we wanted to connect this MCP to the case management."
"Additionally, the documentation for Torq is not very clear. Most of the information is presented in videos, which are not ideal for reading; there are mostly paragraphs and other text-based content."
"Even now, we have workflows that are in production that use AI steps and I get different results, making it unusable to some degree."
"I wish Torq's AI assistant for building templated workflows from scratch worked better; when you start with a blank slate, asking AI to help you build or template the workflow out does not go well."
"I think DNIF HYPERCLOUD can implement the ability to export more than 100,000. At the moment, we can't go beyond that. So many times, if you're checking for the firewall logs and working on something related to authentication or network-related traffic, while that log count is low, the account goes beyond that. You can't restrict the logs or the amount of data you can export. It's very important for my situation. It would be better if they could increase the capacity of exports. Although there are many more types of searching in DNIF HYPERCLOUD, people still struggle to query out what they want because not everyone is good at SQL or DQL. The easiest way to query out in DNIF is using the GUI-based interface. But in the GUI interface, you can use operator calls. It gets tricky when you want to search for a specific type of event. You don't know where it will be passed and whether it will be consistent. In the initial phase, it's tough for us to use DNIF. You cannot pass every event in a stable DNIF. When we used that particular tool, we used to get those logs, but sometimes many things are not getting passed. So, we used to export the sheet or export the data into Excel and weigh the required details. In the next release, I would like them to improve the export of the columns and make the application more user-friendly. I would also like a threat-hunting feature in the next release."
"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."
"There are currently some issues with machine learning plug-ins."
"DNIF HYPERCLOUD is not a stable product compared to other tools like IBM QRadar."
"The solution should be able to connect to endpoints, such as desktops and laptops."
"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."
"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."
"We often encounter minor issues that could be improved, but we maintain communication with the developers and submit feature requests. Recently, I requested enhancements such as improved search functionality within playbooks and expanded options for exporting case data."
"I'm inclined to say that I'd love to see some Machine Learning capabilities integrated into the platform, however, I just attended a demo this morning where Siemplify gave a sneak peek into some Machine Learning capabilities that they are currently developing and have roadmapped for release soon."
"Building the playbooks could be easier and the integration could improve. It is a difficult process, such as what API connections need to be made."
"I can give customer service a rating of six because it is very hard sometimes to keep up with the support."
"The main improvement could be in the accuracy and detail provided in threat descriptions."
 

Pricing and Cost Advice

Information not available
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Comms Service Provider
10%
Manufacturing Company
10%
Construction Company
9%
Construction Company
16%
Comms Service Provider
8%
Financial Services Firm
7%
Outsourcing Company
7%
Financial Services Firm
15%
Manufacturing Company
11%
University
7%
Outsourcing Company
6%
 

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
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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,...
What is your experience regarding pricing and costs for Siemplify?
The pricing for Google SecOps and Microsoft Sentinel is almost the same, with no significant differences.
What needs improvement with Siemplify?
One improvement I am looking for is silent log source monitoring. If some feed or some host went offline or was not p...
What is your primary use case for Siemplify?
I'm working with Google Security Operations. There is a product called Chronicle SecOps, which is a SOC tool and a SI...
 

Also Known As

No data available
No data available
Siemplify ThreatNexus
 

Overview

 

Sample Customers

Information Not Available
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
FedEx Mondelez Intenrational Check Point Trustwave Atos Cyberint Bae Systems Crowe Longwall Security Telefonica Nordea HCL
Find out what your peers are saying about DNIF HYPERCLOUD vs. Google Security Operations and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.