DNIF HYPERCLOUD vs Microsoft Sentinel comparison

NETMONASTERY and Microsoft are both solutions in the Security Information and Event Management (SIEM) category. NETMONASTERY is ranked #53, while Microsoft is ranked #3 with an average rating of 8.3. NETMONASTERY holds a 0.4% mindshare in SIEM, compared to Microsoft’s 7.5% mindshare. Additionally, 85% of NETMONASTERY users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

DNIF HYPERCLOUD

Read 8 DNIF HYPERCLOUD reviews

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361 Comparison Views

85% willing to recommend

Microsoft Sentinel

Read 90 Microsoft Sentinel reviews

14,032 Views
8,568 Comparison Views

93% willing to recommend

DNIF HYPERCLOUD

Microsoft Sentinel

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 18, 2024

DNIF HYPERCLOUD and Microsoft Sentinel are leading products in the cybersecurity realm. Microsoft Sentinel offers superior features and is perceived as worth its price despite DNIF HYPERCLOUD's competitive pricing and support.

Features: DNIF HYPERCLOUD is known for its scalability and high-speed data processing. It also benefits from a robust analytics engine. Microsoft Sentinel is favored for its comprehensive threat detection and integration with machine learning. Its advanced analytics and seamless event correlation are strong differentiators.

Room for Improvement: DNIF HYPERCLOUD users highlight the need for better integration options, enhanced documentation, and improved graphical interface design. Microsoft Sentinel users request enhancements in cost-effectiveness, reduction in false positives, and more intuitive user interface navigation.

Ease of Deployment and Customer Service: DNIF HYPERCLOUD allows for quick deployment and provides robust customer support. Microsoft Sentinel, while also efficient in deployment, has varied reviews regarding customer service responsiveness. Its more sophisticated setup may benefit from enhanced support structures.

Pricing and ROI: DNIF HYPERCLOUD is praised for lower setup costs and faster ROI. Microsoft Sentinel, despite requiring a higher initial investment, is viewed as providing valuable long-term ROI through advanced security features.

To learn more, read our detailed DNIF HYPERCLOUD vs. Microsoft Sentinel Report (Updated: March 2025).

Buyer's Guide

DNIF HYPERCLOUD vs. Microsoft Sentinel

March 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)

53rd

Ranking in Security Orchestration Automation and Response (SOAR)

27th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Log Management (52nd), User Entity Behavior Analytics (UEBA) (21st)

Microsoft Sentinel

Ranking in Security Information and Event Management (SIEM)

3rd

Ranking in Security Orchestration Automation and Response (SOAR)

1st

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Microsoft Security Suite (5th), AI-Powered Cybersecurity Platforms (6th)

Mindshare comparison

As of March 2025, in the Security Information and Event Management (SIEM) category, the mindshare of DNIF HYPERCLOUD is 0.4%, up from 0.3% compared to the previous year. The mindshare of Microsoft Sentinel is 7.5%, down from 9.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Security Information and Event Management (SIEM)

Featured Reviews

Kishore Tiwari

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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KrishnanKartik

Cyber Security Consultant at Inspira Enterprise

Every rule enriched at triggering stage, easing the job of SOC analyst

It's a Big Data security analytics platform. Among the unique features is the fact that it has built-in UEBA and analytical capabilities. It allows you to use the out-of-the-box machine learning and AI capabilities, but it also allows you to bring your own AI/ML, by bringing in your own IPs and allowing the platform to accept them and run that on top of it. In addition, the SOAR component is a pay-per-use model. Compared to any other product, where customization is not available, you can fine-tune the SOAR and you'll be charged only when your playbooks are triggered. That is the beauty of the solution because the SOAR is the costliest component in the market today. Other vendors charge heavily for the SOAR, but with Sentinel it is upside-down: the SOAR is the lowest-hanging fruit. It's the least costly and it delivers more value to the customer. The SOAR engine also uniquely helps us to automate most of the incidents with automated enrichment and that cuts out the L1 analyst work. And combining M365 with Sentinel, if you want to call it integration, takes just a few clicks: "next, next finish." If it is all M365-native, it is a maximum of three or four steps and you'll be able to ingest all the logs into Sentinel. That is true even with AWS or GCP because most of the connectors are already available out-of-the-box. You just click, put in your subscription details, include your IAM, and you are finished. Within five to six steps, you can integrate AWS workloads and the logs can be ingested into Sentinel. When it comes to a third party specifically, such as log sources in a data center or on-premises, we need a log collector so that the logs can be forwarded to the Sentinel platform. And when it comes to servers or something where there is an agent for Windows or Linux, the agent can collect the logs and ship them to the Sentinel platform. I don't see any difficulties in integrating any of the log sources, even to the extent of collecting IoT log sources. Microsoft Defender for Cloud has multiple components such as Defender for Servers, Defender for PaaS, and Defender for databases. For customers in Azure, there are a lot of use cases specific to protecting workloads and PaaS and SaaS in Azure and beyond Azure, if a customer also has on-premises locations. There is EDR for Windows and Linux servers, and it even protects different kinds of containers. With Defender for Cloud, all these sources can be seamlessly integrated and you can then track the security incidents in Microsoft's XDR platform. That means you have one more workspace, under Azure, not Defender for Cloud, where you can see the security incidents. In addition, it can be integrated with Sentinel for EDR deep-dive analytics. It can also protect workloads in AWS. We have customers for whom we are protecting their AWS workloads. Even EKS, Elastic Kubernetes Service, on AWS can be integrated, as can the GKE (Google Kubernetes Engine). And with Defender for Cloud, security alert ingestion is free

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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 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 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."

"Great for scaling productivity for log monitoring purposes."

"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."

"The response time on queries is super-fast."

"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."

More DNIF HYPERCLOUD pros

"The native integration of the Microsoft security solution has been essential because it helps reduce some false positives, especially with some of the impossible travel rules that may be configured in Microsoft 365. For some organizations, that might be benign because they're using VPNs, etc."

"The log analysis is excellent; it can predict what can or will happen regarding use patterns and vulnerabilities."

"The AI and ML of Azure Sentinel are valuable. We can use machine learning models at the tenant level and within Office 365 and Microsoft stack. We don't need to depend upon any other connectors. It automatically provisions the native Microsoft products."

"Microsoft Sentinel comes preloaded with templates for teaching and analytics rules."

"I like the ability to run custom KQL queries. I don't know if that feature is specific to Sentinel. As far as I know, they are using technology built into Azure's Log Analytics app. Sentinel integrates with that, and we use this functionality heavily."

"Having your logs put all in one place with machine learning working on those logs is a good feature. I don't need to start thinking, "Where are my logs?" My logs are in a centralized repository, like Log Analytics, which is why you can't use Sentinel without Log Analytics. Having all those logs in one place is an advantage."

"The most valuable feature is the onboarding of the workloads. You can see all that has been onboarded in your account on the dashboards."

"It is able to connect to an ever-growing number of platforms and systems within the Microsoft ecosystem, such as Azure Active Directory and Microsoft 365 or Office 365, as well as to external services and systems that can be brought in and managed. We can manage on-premises infrastructure. We can manage not just the things that are running in Azure in the public cloud, but through Azure Arc and the hybrid capabilities, we can monitor on-premises servers and endpoints. We can monitor VMware infrastructure, for instance, running as part of a hybrid environment."

More Microsoft Sentinel pros

Cons

"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."

"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."

"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."

"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."

"Sentinel should be improved with more connectors. At the moment, it only covers a few vendors. If I remember correctly, only 100 products are supported natively in Sentinel, although you can connect them with syslog. But Microsoft should increase the number of native connectors to get logs into Sentinel."

"The solution could be more user-friendly; some query languages are required to operate it."

"One key area that can be improved is by building a strong integration with our XDR platform."

"They should integrate it with many other software-as-a-service providers and make connectors available so that you don't have to do any sort of log normalization."

"The solution could improve the playbooks."

"When it comes to ingesting Azure native log sources, some of the log sources are specific to the subscription, and it is not always very clear."

"We have been working with multiple customers, and every time we onboard a customer, we are missing an essential feature that surprisingly doesn't exist in Sentinel. We searched the forums and knowledge bases but couldn't find a solution. When you onboard new customers, you need to enable the data connectors. That part is easy, but you must create rules from scratch for every associated connector. You click "next," "next," "next," and it requires five clicks for each analytical rule. Imagine we have a customer with 150 rules."

"We do see continuous improvement all the time, however, I haven't got a specific feature that is lacking or not well designed."

More Microsoft Sentinel cons

Pricing and Cost Advice

"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."

"The are two native advantages for customers that use M365 Security and Sentinel. The first advantage is that the log or security-event ingestion into Sentinel is free. Cost-wise, they're saving a lot and that is a major advantage."

"The product is costly compared to Splunk."

"It is kind of like a sliding scale. There are different tiers of pricing that go from $100 per day up to $3,500 per day. So, it just kind of depends on how much data is being stored. There can be additional costs to the standard license other than the additional data. It just kind of depends on what other services you're spinning up in Azure, or if you're using something like Azure log analytics."

"Cost-wise, Sentinel is based on the volume of information being ingested, so it can be quite pricey. The ability to use strategies to control what data is being ingested is important."

"Sentinel's price is comparable to pretty much everything out there. None of it is cheap, but we didn't think we could save money by going a different route. Sentinel was part of our Azure expenditures, so it was easier to add the expense instead of having a completely separate vendor."

"Pricing is pay-as-you-go with Sentinel, which is good because it all depends on the number of users and the number of devices to which you connect."

"Currently, given our use case, the cost of Sentinel is justified, but it is expensive."

"The pricing is fair... With a traditional SIEM, you pay a lump sum for licenses. But with Sentinel, it's pay-as-you-go according to the amount of data you inject."

More Microsoft Sentinel pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

12%

Media Company

Educational Organization

Computer Software Company

16%

Financial Services Firm

10%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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...

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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....

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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...

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Is there a common threat intelligence tool that aggregates multiple threat intelligence sources?

Yes, Azure Sentinel is a SIEM on the Cloud. Multiple data sources can be uploaded and analyzed with Azure Sentinel and its Threat Hunting functionality with AI available as templates or customized ...

See all answers

What is a better choice, Splunk or Azure Sentinel?

It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for ingestion of anything, but the charge per GB/Day Indexed and it gets expensive as log ...

See all answers

Which is better - Azure Sentinel or AWS Security Hub?

We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is auto-scaling - you will not have to worry about performance impact, you will...

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Comparisons

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Compared 18% of the time

ManageEngine Log360 vs DNIF HYPERCLOUD

Compared 18% of the time

Wazuh vs DNIF HYPERCLOUD

Compared 18% of the time

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AWS Security Hub vs Microsoft Sentinel

Compared 21% of the time

IBM Security QRadar vs Microsoft Sentinel

Compared 9% of the time

Cortex XSIAM vs Microsoft Sentinel

Compared 8% of the time

Wazuh vs Microsoft Sentinel

Compared 6% of the time

Google Chronicle Suite vs Microsoft Sentinel

Compared 5% of the time

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Product Reports

Buyer's Guide

DNIF HYPERCLOUD

March 2025

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Buyer's Guide

Microsoft Sentinel

March 2025

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Also Known As

No data available

Azure Sentinel

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

Microsoft Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution that lets you see and stop threats before they cause harm. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Eliminate security infrastructure setup and maintenance, and elastically scale to meet your security needs—while reducing IT costs. With Microsoft Sentinel, you can:

- Collect data at cloud scale—across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds

- Detect previously uncovered threats and minimize false positives using analytics and unparalleled threat intelligence from Microsoft

- Investigate threats with AI and hunt suspicious activities at scale, tapping into decades of cybersecurity work at Microsoft

- Respond to incidents rapidly with built-in orchestration and automation of common tasks

To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.

Microsoft

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank

Microsoft Sentinel is trusted by companies of all sizes including ABM, ASOS, Uniper, First West Credit Union, Avanade, and more.

Buyer's Guide

DNIF HYPERCLOUD vs. Microsoft Sentinel

March 2025

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