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DNIF HYPERCLOUD vs Swimlane comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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
6.6
Number of Reviews
18
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 (45th), Security Information and Event Management (SIEM) (45th), User Entity Behavior Analytics (UEBA) (19th)
Swimlane
Ranking in Security Orchestration Automation and Response (SOAR)
8th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
14
Ranking in other categories
AI-Powered Security Automation (3rd)
 

Mindshare comparison

As of August 2026, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of Torq is 3.6%, down from 5.7% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 1.7%, up from 0.3% compared to the previous year. The mindshare of Swimlane is 2.6%, down from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR) Mindshare Distribution
ProductMindshare (%)
Torq3.6%
Swimlane2.6%
DNIF HYPERCLOUD1.7%
Other92.1%
Security Orchestration Automation and Response (SOAR)
 

Featured Reviews

AD
Solutions Architect at ProArch
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.
SK
Senior Engineer at a outsourcing company with 501-1,000 employees
Automation has streamlined phishing triage and now saves analysts significant investigation time
Swimlane is a low-code security platform with most things having connectors and plugins available from the marketplace. You can directly download and configure them and use them instead of writing multiple lines of code; you can directly use the connectors and get your task automated. Regarding my experience using those plugins from the marketplace, you can download whatever the use case is. Based on the use case, you just download the connectors or plugins available, configure them, and once those configurations are complete, create a playbook, design the workflow, and you can directly use an expression for obtaining the desired result. You can create a record for the SOC analyst team, and they can work on specific records, and you can also create UI buttons for the SOC analyst team. You can design another playbook that will be linked with the button. The SOC analyst will have a view to work on the records and can reassign tasks with everything done from the UI. You just need to integrate the workflow with the button. For instance, you can send notifications via multiple endpoints such as Microsoft Teams or Slack. You can configure the Slack connectors, create a playbook workflow, and then the SOC analyst can click a button to have the workflow post messages to the Slack channel, integrating multiple APIs using connectors. Swimlane positively impacts my organization as it is a product company that provides cybersecurity automation. Initially, it was Swimlane, but with multiple releases, now we have a product called Turbine, where we can do the same thing in a more advanced way with agentic AI and the use of AI/ML capabilities.

Quotes from Members

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

Pros

"According to positive outcomes, Torq reduced manual work and made incident response more efficient."
"What I liked the most about Torq is the actual workflow builder, which is really great because they offer a lot of features and convenience features that are useful for any automation engineer."
"Torq offers the best feature through integration with AI."
"Torq has exceeded expectations by delivering workflows in a timely and lower effort manner than XSOAR, and it meets all my needs while saving a ton of time and targeting $600,000 saved this year, which is a substantial amount of money."
"Once I started to use the system and I saw the potential, it changed all of our work in IT."
"Torq has impacted my organization positively by allowing us to earn time and invest resources in other projects that are more meaningful and more interesting, pushing deeper into what a SOC is, and building our processes."
"What I appreciate most about Torq is that it is an essential part of our system."
"Any request that comes in, regardless of how complex it is, I can accomplish it with Torq."
"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 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."
"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 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."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"The response time on queries is super-fast."
"The benefit of DNIF was that the solution was able to detect any anomalies and identify and prevent any possible security threats or attacks."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"Swimlane has had a positive impact on my organization because it has saved us time and, based on using it for one client, we have started to integrate it for the rest of the clients."
"Our primary goal was to reduce analyst time, and we have been successful in that."
"The technical support from Swimlane is very good."
"On a scale of one to ten, this solution deserves a rating of nine."
"Swimlane is a very effective way to represent workflows involving multiple users."
"The most valuable feature of the solution is the support."
"Swimlane has positively impacted my organization by saving a lot of time, reducing all the manual work that the SOC used to do, and improving response times."
"This is the best SOAR product available on the market right now and I recommend it."
 

Cons

"Regarding the pricing of Torq, I would say it is expensive."
"We have MCP that we are working with our cloud security platform, and we wanted to connect this MCP to the case management."
"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."
"Even now, we have workflows that are in production that use AI steps and I get different results, making it unusable to some degree."
"Torq does extensive marketing saying that SOAR is dead and markets itself as an all-in-one solution, but this is not actually true."
"Torq can be improved by adding some more features, such as adding more automation and providing a no-code option so I don't have to code for everything."
"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."
"Torq can probably use more ML and look at what can be closed and what cannot be closed in terms of data classification."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"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."
"There are currently some issues with machine learning plug-ins."
"Dependency on the DNIF support team was frustrating."
"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."
"The EBA could be improved."
"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."
"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."
"Swimlane's scalability was adequate to some extent, but then it needed a DevOps engineer to maintain it properly, which we lacked."
"Swimlane is not scalable because it is not exposed. Currently, it's a manual component that requires configuration through coding."
"Swimlane is currently two-dimensional. If a third dimension could be added, it might be more useful."
"The stability of the solution has room for improvement."
"Swimlane's search bar is not working effectively, and there is no option to differentiate between two cases at the same time."
"I would prefer to have more colors added to represent different risks or notations, which can be used for the prioritization of risks and the significance of information."
"We faced a lot of issues with the product’s stability."
"Swimlane can be improved by being faster and quicker so it is easier for us and does not hang sometimes."
 

Pricing and Cost Advice

Information not available
"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 pricing is based on the log size."
"The solution requires a huge infrastructure and that is costly."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Construction Company
10%
Outsourcing Company
10%
Comms Service Provider
10%
Construction Company
16%
Outsourcing Company
10%
Comms Service Provider
9%
Financial Services Firm
7%
Financial Services Firm
15%
Outsourcing Company
11%
Manufacturing Company
10%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise5
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise8
 

Questions from the Community

What needs improvement with Torq?
Torq can be improved by adding some more features, such as adding more automation and providing a no-code option so I...
What is your primary use case for Torq?
My main use case for Torq is reviewing the incidents and responding to them. After that, I investigate them and take ...
What advice do you have for others considering Torq?
I would definitely recommend others to use Torq as it is an all-rounder tool which even integrates AI. As we all know...
Ask a question
Earn 20 points
What needs improvement with Swimlane?
You can improve Swimlane by allowing customers to raise feature requests if they feel some important fields are missi...
What is your primary use case for Swimlane?
I have been using Swimlane for almost four years. There are multiple use cases for Swimlane. I have mainly worked on ...
What advice do you have for others considering Swimlane?
Swimlane offers this too, but it depends on the user's preference, similar to how some prefer Flipkart while others p...
 

Overview

 

Sample Customers

Information Not Available
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
LinkedIn, TransUnion, Citrix, Aetna, Perspecta
Find out what your peers are saying about DNIF HYPERCLOUD vs. Swimlane and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.