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DNIF HYPERCLOUD vs Rapid7 InsightIDR comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 18, 2024

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)
55th
Ranking in User Entity Behavior Analytics (UEBA)
23rd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Log Management (52nd), Security Orchestration Automation and Response (SOAR) (29th)
Rapid7 InsightIDR
Ranking in Security Information and Event Management (SIEM)
14th
Ranking in User Entity Behavior Analytics (UEBA)
5th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
32
Ranking in other categories
Endpoint Detection and Response (EDR) (25th), Threat Deception Platforms (5th), Extended Detection and Response (XDR) (16th)
 

Mindshare comparison

As of July 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 Rapid7 InsightIDR is 2.6%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Information and Event Management (SIEM)
 

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.
Asim Naeem - PeerSpot reviewer
Providing comprehensive insight into alerts while working towards AI enhancement
I definitely recommend Rapid7 InsightIDR. It is becoming better, with improvements being continuously made to the product. Right now, I do not have any advice about Rapid7 for other users because every organization or user has different criteria or multiple use cases, so I refrain from commenting on that. I rate the overall solution seven out of ten.

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 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 response time on queries is super-fast."
"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 most valuable feature of the solution is the number of EPS it can handle."
"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."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"It is a very stable solution."
"I definitely recommend Rapid7 InsightIDR."
"The alerting to drive investigations and remediation has been its most valuable feature.​"
"The solution provides satisfying native integration features"
"The solution is easy to use, and the interface is intuitive."
"Features for user behavior analytics and the rules for attack review are good."
"I like that it's a cloud-based solution."
"I like the tool's user analysis feature."
 

Cons

"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 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."
"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."
"Dependency on the DNIF support team was frustrating."
"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."
"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"The solution needs improvement in threat intelligence. Increasing the depth of intelligence to help users understand more about threats is a possibility. My suggestion is to expand access to other websites or resources."
"Tenable Nessus is easier to deal with. It's more efficient and accurate. InsightIDR is heavier than Tenable in terms of performance and scanning. Rapid7 would be much easier to use if it had a network connector like Tenable. Tenable's connector allows continuous monitoring over the B caps."
"Customised alert recipients need to be added to allow better first-line action and quicker response. Configurable honeypots would be a welcome addition."
"I feel it would greatly benefit from more supported log sources."
"The interface for doing investigation needs to be enhanced with minor improvements that would make it more useful."
"The main problem lies in the processes within the client's operating systems."
"The reporting is the weakest aspect. There needs to be multi-level grouping for events (for example, group by user and destination). Right now, we can do a group by user and a separate table or group by destination. But I'd be more interested in where a person was logging into instead of who was logging in or where he was logging in."
"Needs a better ability to customize the check within the console."
 

Pricing and Cost Advice

"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."
"The pricing is based on the log size."
"The team is very willing to work with companies. My suggestion is to call the Rapid7 sales department and see how they can help.​"
"Rapid7 InsightIDR is a cheaply priced product. On a scale of one to ten, where one is very expensive, and ten is very cheap, I rate the product's price at seven or eight."
"Rapid7 InsightIDR charges us based on the endpoints we connect to."
"The solution has a mid-range price point in the market"
"It is more reasonably priced than other vendors."
"Licensing is by endpoint and amount of retention time (at least ours is). Default retention was one year, but we are able to push the retention further if needed. There's also a provide-your-own-S3 option for longer retention if you don't want to pay for the additional retention years in your Rapid7 agreement."
"Rapid7 InsightIDR's pricing is reasonable but we have challenges with the Minimum Order Quantity. It is not reasonable for customers who have less than one hundred devices. If they can reduce Minimum Order Quantity, it is good. You have to pay around 5000-6000 dollars per year for the product. The pricing includes maintenance and support costs."
"The pricing is good, and it is not very expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
11%
Media Company
9%
Real Estate/Law Firm
9%
Computer Software Company
15%
Financial Services Firm
8%
Manufacturing Company
8%
Government
6%
 

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...
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 SOC product do you recommend?
For tools I’d recommend: -SIEM- LogRhythm -SOAR- Palo Alto XSOAR Doing commercial w/o both (or at least an XDR) is asking to miss details that are critical, and ending up a statistic. Also, rememb...
What do you like most about Rapid7 InsightIDR?
During simulations or demonstrations, the tool generates alerts, providing details such as the specific application, its origin, and potential threats. For instance, it can identify if an applicati...
 

Also Known As

No data available
InsightIDR
 

Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Liberty Wines, Pioneer Telephone, Visier
Find out what your peers are saying about DNIF HYPERCLOUD vs. Rapid7 InsightIDR and other solutions. Updated: July 2025.
861,524 professionals have used our research since 2012.