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Anomali vs DNIF HYPERCLOUD comparison

Anomali and NETMONASTERY are both solutions in the Security Information and Event Management (SIEM) category. Anomali is ranked #56, while NETMONASTERY is ranked #54. Anomali holds a 0.2% mindshare in SIEM, compared to NETMONASTERY’s 0.4% mindshare. Additionally, 66% of Anomali users are willing to recommend the solution, compared to 85% of NETMONASTERY users who would recommend it.
Anomali
Read 2 Anomali reviews
  • 343 Views
  • 233 Comparison Views
66% willing to recommend
DNIF HYPERCLOUD
Read 8 DNIF HYPERCLOUD reviews
  • 623 Views
  • 358 Comparison Views
85% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 1, 2025

Anomali and DNIF HYPERCLOUD are competing products in the cybersecurity realm. Anomali has the upper hand for organizations seeking advanced threat intelligence due to its comprehensive intelligence capabilities.

Features: Anomali offers advanced threat intelligence, diverse security ecosystem integrations, and actionable threat insights. DNIF HYPERCLOUD provides strong analytics, processes large data volumes, and enables comprehensive threat detection strategies.

Ease of Deployment and Customer Service: Anomali provides straightforward deployment, extensive integrations, and reliable support for enhancing threat intelligence. DNIF HYPERCLOUD requires intricate initial setup but benefits from detailed documentation and robust customer service for deployment assistance.

Pricing and ROI: Anomali may have a higher initial cost yet provides a significant return on investment with its extensive threat intelligence. DNIF HYPERCLOUD offers cost-effective solutions with comprehensive analytics and scalable options, making it attractive for cost-efficient organizations.

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To learn more, read our detailed Anomali vs. DNIF HYPERCLOUD Report (Updated: January 2025).
Buyer's Guide
Anomali vs. DNIF HYPERCLOUD
January 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

Anomali
Ranking in Security Information and Event Management (SIEM)
56th
Ranking in User Entity Behavior Analytics (UEBA)
25th
Average Rating
7.0
Reviews Sentiment
7.2
Number of Reviews
2
Ranking in other categories
Advanced Threat Protection (ATP) (31st), Threat Intelligence Platforms (9th), Extended Detection and Response (XDR) (41st)
DNIF HYPERCLOUD
Ranking in Security Information and Event Management (SIEM)
54th
Ranking in User Entity Behavior Analytics (UEBA)
21st
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (53rd), Security Orchestration Automation and Response (SOAR) (27th)
 

Mindshare comparison

As of April 2025, in the Security Information and Event Management (SIEM) category, the mindshare of Anomali is 0.2%, down from 0.2% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Information and Event Management (SIEM)
 

Featured Reviews

PP
Easy and quick credential monitoring; tech support could be improved
Currently, we are not using any other solution for this use case, but previously we used MISP, which is an open-source project that requires a lot of effort to make work. That way, it required a lot of attention from our system administrator, and we had to sanitize the data very frequently because the peers we had. Sometimes they flooded our systems with chunk data and that needs to be handled and we decided to go with a paid solution instead.
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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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Quotes from Members

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

Pros

"The feature I have found most valuable is credential monitoring. This feature is easy and quick."
"I have found Cyber threat intelligence (CTI) very useful and concise. The solution is easy to use."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"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."
"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."
"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."
"Great for scaling productivity for log monitoring purposes."
More DNIF HYPERCLOUD pros
 

Cons

"Less code in integration would be nice when building blocks."
"A lot of tools can give you many features, such as CTI intelligence and a tax service reduction. However, many people are combining different tools together to have more capabilities. It is up to the consumer whether they want to have multiple tools or have one tool that serves the purpose. Anomali Enterprise could improve by combining all the other tools' features into one solution."
"The EBA could be improved."
"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 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."
"The solution's command line should be simpler so that routine commands can be used."
"There are currently some issues with machine learning plug-ins."
"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."
 

Pricing and Cost Advice

"When comparing the price of Anomali Enterprise to other solutions it is in the medium to high range. However, I am satisfied with the price."
"The pricing is based on the log size."
"The solution requires a huge infrastructure and that is costly."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
14%
Government
11%
Manufacturing Company
7%
Computer Software Company
17%
Financial Services Firm
12%
Media Company
9%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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...
See all answers
 

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Product Reports

Buyer's Guide
Threat Intelligence Platforms
April 2025
Anomali reportDownload Anomali product report
Buyer's Guide
DNIF HYPERCLOUD
April 2025
DNIF HYPERCLOUD reportDownload DNIF HYPERCLOUD product report
 

Also Known As

Match, Lens, ThreatStream, STAXX, Anomali Security Analytics
No data available
 

Overview

Anomali delivers advanced threat intelligence solutions designed to enhance security operations by providing comprehensive visibility into threats and enabling real-time threat detection and management.

Anomali stands out in threat intelligence, offering an innovative platform that integrates data to identify and analyze threats effectively. It enables teams to streamline threat detection processes and respond to incidents with increased agility. With a focus on accuracy and efficiency, Anomali supports cybersecurity professionals in making informed decisions to safeguard their networks consistently.

What are Anomali's core features?
  • ThreatStream: A platform that aggregates threat intelligence feeds to enhance threat assessment.
  • Match: An automated detection feature that matches internal log data against threat intelligence insights.
  • Link: Provides graphical visualization for threat analysis, helping to understand threat vectors better.
  • STAXX: A lightweight tool for collecting and analyzing open-source threat intelligence.
What are the key benefits and ROI of using Anomali?
  • Improved Threat Detection: Streamlined processes lead to faster identification and response to threats.
  • Resource Efficiency: Automation reduces manual tasks, allowing security teams to focus on strategic activities.
  • Better Decision Making: Provides actionable insights that enable more informed security strategies.

In industries like finance and healthcare, Anomali is implemented to address specific challenges like compliance and data protection. By using this platform, organizations gain the ability to adapt to evolving threats, ensuring robust and adaptable security postures tailored to industry demands.

Anomali

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
 

Sample Customers

Bank of England, First Energy, UBISOFT, Bank of Hope, Blackhawk Network
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Buyer's Guide
Anomali vs. DNIF HYPERCLOUD
January 2025
Free Report: Anomali vs. DNIF HYPERCLOUD
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