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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 #33 with an average rating of 8.5, while NETMONASTERY is ranked #55. Anomali holds a 0.3% mindshare in SIEM, compared to NETMONASTERY’s 0.5% mindshare. Additionally, 80% of Anomali users are willing to recommend the solution, compared to 85% of NETMONASTERY users who would recommend it.
Anomali
Read 4 Anomali reviews
  • 2,282 Views
  • 365 Comparison Views
80% willing to recommend
DNIF HYPERCLOUD
Read 8 DNIF HYPERCLOUD reviews
  • 923 Views
  • 646 Comparison Views
85% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 6, 2025

Anomali and DNIF HYPERCLOUD are competitive in threat intelligence and security analytics. Anomali is favored for its support and pricing, while DNIF HYPERCLOUD is preferred for its features.

Features: Anomali offers powerful threat detection, credential monitoring, and extensive integration options, enhancing data analysis. It provides adaptive threat modeling and strong API capabilities, allowing programmatic management. DNIF HYPERCLOUD features fast-response time, UBA threat-hunting, and advanced search capabilities. It includes an accessible MITRE table for threat identification and scalable data lake infrastructure, demonstrating strong automation and analytics.

Room for Improvement: Anomali could improve its data set size and enhance its analytics depth to match other solutions. Its credential monitoring, while effective, could benefit from broader context integration. Further simplification of API setup processes may enhance usability. DNIF HYPERCLOUD's MITRE capabilities can be more user-friendly. The learning curve for version 9.1 could be steep, and its log monitoring complexity could mirror more straightforward solutions like Splunk. Infrastructure customization can be daunting without robust guidance.

Ease of Deployment and Customer Service: Anomali supports straightforward deployment with excellent customer service, enabling efficient integration. DNIF HYPERCLOUD offers flexible deployment with a strong focus on customer assistance but presents setup complexities. Anomali's smooth deployment is enhanced by its responsive customer service.

Pricing and ROI: Anomali's pricing model offers a solid return on investment, making it a cost-effective option. DNIF HYPERCLOUD, although possibly more costly initially, offers substantial long-term ROI through its feature-rich environment. Each solution presents compelling financial advantages based on organizational needs.

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Buyer's Guide
Anomali vs. DNIF HYPERCLOUD
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

Anomali
Ranking in Security Information and Event Management (SIEM)
33rd
Ranking in User Entity Behavior Analytics (UEBA)
18th
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
4
Ranking in other categories
Advanced Threat Protection (ATP) (22nd), Threat Intelligence Platforms (8th), Extended Detection and Response (XDR) (27th)
DNIF HYPERCLOUD
Ranking in Security Information and Event Management (SIEM)
55th
Ranking in User Entity Behavior Analytics (UEBA)
22nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (51st), Security Orchestration Automation and Response (SOAR) (29th)
 

Mindshare comparison

As of August 2025, in the Security Information and Event Management (SIEM) category, the mindshare of Anomali is 0.3%, up from 0.2% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.5%, 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

CC
Enables automated threat intelligence sorting and enhances proactive threat hunting capabilities
You have to have at least a threat intelligence background or a SOC analyst background to use it, as that's the information you'll dig around with in there. If you don't have that kind of knowledge, it probably can be a little hard to use, but they do provide training. They offer training not only for how to use the platform but also some basic threat intelligence training to explain what these things are and what these terms mean. My company is a customer of Anomali. I would recommend it to other people. I would advise making sure you don't pick it without testing other products and have your use cases well thought out and documented before testing, so you know it will solve the problems you're trying to address. Keep an open mind with it and realize that whatever you can dream of, you can probably do with the platform. Overall, I would rate Anomali an eight out of ten.
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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 most valuable aspect of Anomali is the threat modeling capability."
"The feature I have found most valuable is credential monitoring. This feature is easy and quick."
"We now have a very robust collection of threat intelligence based on the capabilities that Anomali provides."
"I have found Cyber threat intelligence (CTI) very useful and concise. The solution is easy to use."
"Has a great search capability."
"The most valuable feature of the solution is the number of EPS it can handle."
"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."
"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."
"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."
More DNIF HYPERCLOUD pros
 

Cons

"An area for improvement is the intelligence sharing within the Anomali community. The tagging system can be inconsistent, as any company can use any tags for their reporting."
"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."
"Support in the past has been top-notch, but recent trends indicate that it has taken a back seat, as we often don't get answers for days."
"Less code in integration would be nice when building blocks."
"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."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"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."
"The EBA could be improved."
 

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 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."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
13%
Government
7%
Insurance Company
6%
Transportation Company
10%
Media Company
9%
Computer Software Company
8%
Construction Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with Anomali ThreatStream?
An area for improvement is the intelligence sharing within the Anomali community. The tagging system can be inconsistent, as any company can use any tags for their reporting. Combining all aliases ...
See all answers
What is your primary use case for Anomali ThreatStream?
I use Anomali ( /products/anomali-reviews ) for threat hunting, threat collection, operationalization of intelligence, such as indicators of compromise (IOCs), and dissemination of reports for repo...
See all answers
What advice do you have for others considering Anomali ThreatStream?
For new users, I recommend taking the training provided by Anomali as it is very well articulated. I advise reading the user manual and taking the instructor-led training sessions from the customer...
See all answers
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
 

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Product Reports

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