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DNIF HYPERCLOUD vs Google Security Operations comparison

NETMONASTERY and Google are both solutions in the Security Orchestration Automation and Response (SOAR) category. NETMONASTERY is ranked #29, while Google is ranked #15 with an average rating of 9.5. NETMONASTERY holds a 0.3% mindshare in SOAR, compared to Google’s 2.2% mindshare. Additionally, 85% of NETMONASTERY users are willing to recommend the solution, compared to 83% of Google users who would recommend it.
DNIF HYPERCLOUD
Read 8 DNIF HYPERCLOUD reviews
  • 182 Views
  • 13 Comparison Views
85% willing to recommend
Google Security Operations
Read 4 Google Security Operations reviews
  • 694 Views
  • 302 Comparison Views
83% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 15, 2025

Google Security Operations and DNIF HYPERCLOUD compete in enhancing security infrastructure. Google Security Operations has an advantage due to its deep integration with the existing Google ecosystem, while DNIF HYPERCLOUD provides significant customization for enterprises.

Features: Google Security Operations offers automatic threat detection and response using machine learning, seamless integration with Google products, and extensive threat monitoring capabilities. DNIF HYPERCLOUD stands out with real-time data processing, threat intelligence for large-scale analysis, and scalable architecture supporting tailored solutions.

Room for Improvement: Google Security Operations may expand support for non-Google environments, enhance analytics depth, and offer more customization options. DNIF HYPERCLOUD could streamline deployment processes, improve integration with existing tools, and refine user experience for more intuitive operation.

Ease of Deployment and Customer Service: Google Security Operations simplifies deployment for Google users and provides extensive support. DNIF HYPERCLOUD, while requiring detailed setup, benefits from strong, personalized customer support, focusing on customization and scalability.

Pricing and ROI: Google Security Operations is cost-effective within the Google ecosystem, offering seamless integration benefits. DNIF HYPERCLOUD, though potentially higher in setup costs, provides substantial returns for enterprises needing intricate security analytics and custom configurations.

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To learn more, read our detailed DNIF HYPERCLOUD vs. Google Security Operations Report (Updated: May 2025).
Buyer's Guide
DNIF HYPERCLOUD vs. Google Security Operations
May 2025
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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)
54th
Ranking in Security Orchestration Automation and Response (SOAR)
29th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (53rd), User Entity Behavior Analytics (UEBA) (23rd)
Google Security Operations
Ranking in Security Information and Event Management (SIEM)
27th
Ranking in Security Orchestration Automation and Response (SOAR)
15th
Average Rating
9.0
Reviews Sentiment
7.7
Number of Reviews
4
Ranking in other categories
AI-Powered Cybersecurity Platforms (10th)
 

Mindshare comparison

As of June 2025, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of DNIF HYPERCLOUD is 0.3%, down from 0.3% compared to the previous year. The mindshare of Google Security Operations is 2.2%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR)
 

Featured Reviews

Kishore Tiwari - PeerSpot reviewer
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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reviewer2203269 - PeerSpot reviewer
Real-time threat detection and alarm management have improved security operations
Google SecOps is extremely useful for threat detection and hunting. It provides a detailed pipeline for detection and is beneficial for real-time threat monitoring when integrated with Mandiant. The tool's integration capabilities are effective, and it helps in managing alarms for normal threats efficiently. Overall, Google SecOps is a very useful service for security operations.
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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

"Has a great search capability."
"The most valuable feature of the solution is the number of EPS it can handle."
"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 solution is quite stable and offers good performance. It also works on a virtual machine. We haven't found any issues with it so far. It's been reliable."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"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 response time on queries is super-fast."
"Great for scaling productivity for log monitoring purposes."
More DNIF HYPERCLOUD pros
"The most valuable feature of Siemplify is the playbooks that can be created."
"Google SecOps is extremely useful for threat detection and hunting."
"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."
"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."
 

Cons

"Dependency on the DNIF support team was frustrating."
"The solution's command line should be simpler so that routine commands can be used."
"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."
"There are currently some issues with machine learning plug-ins."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"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."
"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."
"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."
"The main improvement could be in the accuracy and detail provided in threat descriptions."
"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."
"The main improvement could be in the accuracy and detail provided in threat descriptions."
 

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."
Information not available
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
11%
Real Estate/Law Firm
9%
Educational Organization
9%
Financial Services Firm
17%
Computer Software Company
16%
Retailer
10%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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...
See all answers
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....
See all answers
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...
See all answers
What do you like most about Siemplify?
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 inter...
See all answers
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.
See all answers
What needs improvement with Siemplify?
The main improvement could be in the accuracy and detail provided in threat descriptions. Google SecOps reports could be more detailed, similar to the comprehensive descriptions provided by Microso...
See all answers
 

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Compared 17% of the time
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Compared 16% of the time
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Product Reports

Buyer's Guide
DNIF HYPERCLOUD
June 2025
DNIF HYPERCLOUD reportDownload DNIF HYPERCLOUD product report
Buyer's Guide
Security Orchestration Automation and Response (SOAR)
June 2025
Google Security Operations reportDownload Google Security Operations product report
 

Also Known As

No data available
Siemplify ThreatNexus
 

Overview

DNIF HYPERCLOUD is a cloud native platform that brings the functionality of SIEM, UEBA and SOAR into a single continuous workflow to solve cybersecurity challenges at scale. DNIF HYPERCLOUD is the flagship SaaS platform from NETMONASTERY that delivers key detection functionality using big data analytics and machine learning. NETMONASTERY aims to deliver a platform that helps customers in ingesting machine data and automatically identify anomalies in these data streams using machine learning and outlier detection algorithms. The objective is to make it easy for untrained engineers and analysts to use the platform and extract benefit reliably and efficiently.

NETMONASTERY

Google Security Operations provides advanced threat detection and response capabilities. Tailored for cybersecurity professionals, it integrates seamlessly with existing infrastructure, offering a proactive approach to managing security challenges.

Designed for enterprises requiring robust threat management, Google Security Operations harnesses the power of Google's infrastructure to deliver comprehensive insights into potential vulnerabilities and attack vectors. Leveraging AI and machine learning, users benefit from enhanced accuracy and speed in identifying threats, making it a crucial tool in maintaining cybersecurity resilience. Its adaptability allows businesses to customize security protocols, ensuring alignment with specific security strategies.

What are the most crucial features of Google Security Operations?

  • Threat Detection: Uses advanced algorithms to identify potential threats quickly.
  • Automated Response: Streamlines response measures to mitigate risks efficiently.
  • Scalability: Designed to grow with the security demands of an organization.
  • Integration Capabilities: Easily connects with existing security tools and platforms.

What benefits do users gain from Google Security Operations?

  • Improved Security Posture: Strengthens defenses against emerging threats.
  • Cost Efficiency: Reduces the need for extensive manual monitoring efforts.
  • Enhanced Decision Making: Provides detailed insights for informed security strategies.
  • Operational Efficiency: Increases the effectiveness of cybersecurity teams.

In industries like finance and healthcare, Google Security Operations is implemented to address specific regulatory and compliance requirements. Its adaptive features support cybersecurity frameworks, ensuring data protection and risk management standards are met effectively.

Google
 

Sample Customers

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
Buyer's Guide
DNIF HYPERCLOUD vs. Google Security Operations
May 2025
Free Report: DNIF HYPERCLOUD vs. Google Security Operations
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