DNIF HYPERCLOUD vs Logpoint comparison

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DNIF HYPERCLOUD

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Executive SummaryUpdated on Sep 18, 2024

Logpoint and DNIF HYPERCLOUD are noteworthy contenders in the cybersecurity market. DNIF HYPERCLOUD is often viewed as superior due to its comprehensive feature set, which many users believe justifies the price.

Features: Logpoint is praised for its integration capabilities, analytics, and ability to seamlessly integrate with different systems. DNIF HYPERCLOUD receives accolades for its scalability, advanced threat detection, and automation features that enhance security operations.

Room for Improvement: Users of Logpoint note that improvements could be made in the areas of dashboard customization, query speed, and technical performance aspects. Conversely, DNIF HYPERCLOUD users suggest enhancements in documentation, user training, and supportive resources.

Ease of Deployment and Customer Service: Logpoint users find the deployment straightforward but occasionally report mixed experiences with customer service. DNIF HYPERCLOUD offers a flexible deployment model and receives positive feedback for its customer service efficiency.

Pricing and ROI: Logpoint is highly regarded for its competitive setup cost and perceived strong ROI. DNIF HYPERCLOUD, while more expensive, is deemed worth the investment due to its extensive capabilities and long-term benefits.

To learn more, read our detailed DNIF HYPERCLOUD vs. Logpoint Report (Updated: August 2025).

DNIF HYPERCLOUD vs. Logpoint

August 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 Log Management

51st

Ranking in Security Information and Event Management (SIEM)

54th

Ranking in User Entity Behavior Analytics (UEBA)

23rd

Ranking in Security Orchestration Automation and Response (SOAR)

29th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Logpoint

Ranking in Log Management

35th

Ranking in Security Information and Event Management (SIEM)

29th

Ranking in User Entity Behavior Analytics (UEBA)

12th

Ranking in Security Orchestration Automation and Response (SOAR)

18th

Average Rating

7.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Endpoint Detection and Response (EDR) (42nd)

Mindshare comparison

As of September 2025, in the Security Information and Event Management (SIEM) category, the mindshare of DNIF HYPERCLOUD is 0.5%, up from 0.3% compared to the previous year. The mindshare of Logpoint is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Security Information and Event Management (SIEM) Market Share Distribution
Product	Market Share (%)
Logpoint	0.9%
DNIF HYPERCLOUD	0.5%
Other	98.6%

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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Abdullah Secca

Cyber Security Analyst at Pacific Propeller

Valuable monitoring and integration features boost compliance

They are not in the US market, and the quality of support has declined. They migrated operations from Boston to Denmark, and we cannot use a tool hosted outside the country. Additionally, dealing with foreign entities for support was a challenge, leading us to switch providers due to lack of adequate support.

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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

"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 response time on queries is super-fast."

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

"The most valuable feature of the solution is the number of EPS it can handle."

"Has a great search capability."

"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."

"Great for scaling productivity for log monitoring purposes."

More DNIF HYPERCLOUD pros

"The product is easy to use."

"The solution offers excellent reporting features. Our customers have been satisfied that they have been able to meet their compliance needs by giving them a standard report."

"The most beneficial was being able to prove, with proper reports, that from a compliance perspective, the company is in control. The service part of LogPoint did modifications or did some additional work to have the proper reports defined."

"The solution is user-friendly."

"The integration is very user-friendly. There are not many CLI commands. Everything is directly accessible from the web interface."

"The UEBA component, as well as the SOAR component, are some of the most valuable features of Logpoint."

"The most valuable feature of LogPoint is that they have the SIEM and SOAR combined in one solution. They are not on a separate platform."

"The solution's user interface is quite simple, and the integration is better than other products."

More Logpoint pros

Cons

"The EBA could be improved."

"Dependency on the DNIF support team was frustrating."

"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."

"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."

"There are currently some issues with machine learning plug-ins."

"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."

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

"The interface needs things like wizards that will assist with creating complex correlation rules."

"It is complicated to collect daily logs from other systems."

"One of the things we faced last year was that we had some memory issues with the server running. We were running them as virtual services, and we were facing some performance issues. Back then, there were some things that had already been solved at the end, but one of the small issues we had was that it was quite memory-consuming. After one upgrade that we did, we faced some performance issues."

"The solution should offer more integrations and third-party solutions like incident response platforms or allow access to third-party big data"

"Nowadays the trend is going towards the ransomware and the endpoint detection and response. So if they added something for that, that will be very, very good."

"Logpoint is not flexible. Its documentation is not user-friendly."

"What could be improved in LogPoint is its UI because it's less friendly to users than LogRhythm. The UI could be more aesthetically appealing to users. It's completely outdated."

"The documentation part is something that needs to be improved, as well as the threat intelligence investigation part."

More Logpoint 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 solution requires a huge infrastructure and that is costly."

"The pricing is based on the log size."

"Our licensing fees are about $10,000 USD per month, which I think is fair."

"It's getting more expensive, which is one of the reasons we're looking around just to see if there's anything better value."

"My company used to pay for LogPoint costs annually. It's a cost-effective solution. I'm not part of the Finance team, though, so I'm not sure exactly what the licensing fee is or what license my company had."

"It was on a yearly basis at about $100K. It was not a huge environment. We were running it on our own virtual server environment, which, of course, had a cost. There was hardware and some energy cost, and then there were Microsoft Windows licenses for servers. That's all, but there was nothing in comparison to the licensing costs."

"It has a fixed price, which is what I like about LogPoint. I bought the system and paid for it, and I pay maintenance. It is not a consumption model. Most SIEMs or most of the log management systems are consumption-based, which means that you pay for how many logs you have in the system. That's a real problem because logs can grow very quickly in different circumstances, and when you have a variable price model, you never know what you're going to pay. Splunk is notoriously expensive for that reason. If you use Splunk or QRadar, it becomes expensive because there are not just the logs; you also have to parse the logs and create indexes. Those indexes can be very expensive in terms of space. Therefore, if they charge you by this space, you can end up paying a significant amount of money. It can be more than what you expect to pay. I like the fact that LogPoint has a fixed cost. I know what I'm going to pay on a yearly basis. I pay that, and I pay the maintenance, and I just make it work."

"LogPoint seemed like it was a good product, but it was expensive and there wasn't any room to move the pricing when customers needed a lower-costing solution."

"For a hundred user deployment the cost is about $10,000. The next year it would be the same because it's a subscription-based license. There are separate costs as well, for example, if a customer asks for training for their staff."

"Logpoint's pricing is mid-ranged and depends on the number of devices."

More Logpoint pricing and cost advice

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Use our free recommendation engine to learn which Security Information and Event Management (SIEM) solutions are best for your needs.

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Top Industries

By visitors reading reviews

Transportation Company

10%

Media Company

Financial Services Firm

Construction Company

Computer Software Company

28%

Comms Service Provider

10%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	17
Midsize Enterprise	3
Large Enterprise	4

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...

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....

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...

What do you like most about LogPoint?

The solution is user-friendly.

What is your experience regarding pricing and costs for LogPoint?

I rate the pricing at eight, suggesting it's relatively good or affordable.

What needs improvement with LogPoint?

Logpoint needs to be cloud-native, as currently, it is not. Additionally, there should be compliance mapping, where the features and actions within Logpoint map to security compliance standards.

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Product Reports

Download DNIF HYPERCLOUD product report

DNIF HYPERCLOUD

September 2025

Download Logpoint product report

September 2025

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

Logpoint is a cutting-edge security information and event management (SIEM) solution that is designed to be intuitive and flexible enough to be used by an array of different businesses. It is capable of expanding according to its users' needs.

Benefits of Logpoint

Some of the benefits of using Logpoint include:

Unifies data logs: Logpoint creates a single system of classification for collected data. It makes it easy for users to search for and find data, which aids users when they are creating reports or alerts. Users can conserve resources while at the same time seeing a rise in the efficiency of their business operations.

Intuitive solution design: Logpoint is designed so that anyone can utilize all of its features, even if they are not an expert in network security. Logpoint’s UI is simple enough that users can utilize it without undergoing extensive training.

Highly flexible: Logpoint is designed so that users can scale it linearly to accommodate projects that are large and complex. This allows users to expand the scope of their projects according to their needs without worrying that their infrastructure won’t be able to handle the increase in size. The solution’s security features can be deployed both on the cloud and in a physical environment.

Simple role-based access security: Logpoint allows administrators to employ Microsoft’s active directory (AD) and a Lightweight Directory Access Protocol to manage user access. These can help administrators protect their systems from being abused or otherwise harmed by bad actors.

Reviews from Real Users

Logpoint is a security and management solution that stands out among its competitors for a number of reasons. Two major ones are its data gathering and artificial intelligence (AI) capabilities. Logpoint enables users to not only gather the data, but also to maximize both the amount of data that can be gathered and its usefulness. It removes many of the challenges that users may face in data collection. The solution allows users to set rules for collection and then it pulls information from sources that meet the rules that have been set. This data is then broken into manageable segments and ordered. Users can then analyze these ordered segments with ease. Additionally, LogPoint utilizes both machine learning and AI technology. Users gain the ability to protect themselves from and if necessary resolve emerging threats as soon as they arise. The AI sets security parameters for a user’s system. These act as a baseline that are triggered and notify the user if anything deviates from the rules that it set up.

The chief infrastructure & security officer at a financial services firm writes, “It is a very comprehensive solution for gathering data. It has got a lot of capabilities for collecting logs from different systems. Logs are notoriously difficult to collect because they come in all formats. Logpoint has a very sophisticated mechanism for you to be able to connect to or listen to a system, get the data, and parse it. Logs come in text formats that are not easily parsed because all logs are not the same, but with Logpoint, you can define a policy for collecting the data. You can create a parser very quickly to get the logs into a structured mechanism so that you can analyze them.”

A. Secca., a Cyber Security Analyst at a transportation company, writes, “It is an AI technology because it is using machine learning technology. So far, there is nothing better out there for UEBA in terms of monitoring endpoints and user activity. It is using machine learning language, so it is right at the top. It provides that capability and monitors all of the user’s activities. It devises a baseline and monitors if there is any deviation from the baseline.”

Sample Customers

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

AP Pension, Copenhagen Airports, KMD, Terma, DISA, Danish Crown, Durham City Council, Game, TopDanmark, Lahti Energia, Energi Midt, Synoptik, Eissmann Group Automotive, Aligro, CG50...