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DNIF HYPERCLOUD vs Logstash comparison

 

Comparison Buyer's Guide

Executive Summary

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
50th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (51st), User Entity Behavior Analytics (UEBA) (21st), Security Orchestration Automation and Response (SOAR) (28th)
Logstash
Ranking in Log Management
31st
Average Rating
9.0
Reviews Sentiment
5.6
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Log Management category, the mindshare of DNIF HYPERCLOUD is 0.9%, up from 0.2% compared to the previous year. The mindshare of Logstash is 0.9%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Logstash0.9%
DNIF HYPERCLOUD0.9%
Other98.2%
Log Management
 

Featured Reviews

Kishore Tiwari - PeerSpot reviewer
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.
reviewer2727468 - PeerSpot reviewer
Senior Application Engineer at a comms service provider with 11-50 employees
Transforms logs for real-time insights and seamless reporting
Logstash is used for transforming logs, and you can use many plugins in Logstash. Logstash works with configuration files that contain three main parts: an input part, a filter part, and an output part. In the input part, we can take logs from many sources such as Beats, files, or Kafka. The filter part is used to filter the logs that are shipped from Beats. From my understanding and experience with Logstash, it is usually used for processing logic, meaning I can control what fields should be transferred to Elastic and what fields shouldn't be transferred. This is the main function I use Logstash for. Elastic is a famous open-source searching engine that helps operation teams speed up the investigation process and provides real-time insights for performance reporting.

Quotes from Members

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

Pros

"It was one of the first SIEM tools I saw that had that particular MITRE table."
"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 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."
"Has a great search capability."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"Great for scaling productivity for log monitoring purposes."
"We have three or four Logstash servers for high availability."
"The functionality of Logstash is quite easy to implement and the plugin ecosystem of Logstash is great, with plugins for shell script monitoring and SQL monitoring working well with the tool."
"I can collect logs from various data sources, including hardware."
"Everything aligns well with improving our organization."
"The transformation means we ship the logs in the way that we want them to be presented in Kibana, which is the main function we use Logstash for."
"Logstash has numerous plugins for inputs and outputs, allowing it to work well in environments that do not contain other Elastic components."
 

Cons

"I feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"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 used version 8 which was not at all stable. The services and processor keep going down, we had to manually keep them up increasing storage space because services are down, and logs not processed."
"There are currently some issues with machine learning plug-ins."
"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."
"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 vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product."
"Dependency on the DNIF support team was frustrating."
"An enhancement we could implement is the ability to cluster Logstash to exist in more than one node."
"Elastic does not provide proper support for Logstash worldwide, and I rate their technical support as one out of ten."
"There can be a UI to implement with Logstash. Currently, I have to work with config files and everything."
"We still have a problem with importing the log system."
"The product needs to improve its compatibility."
"Almost all the research can be very bad. We still have a problem with importing the log system."
 

Pricing and Cost Advice

"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."
Information not available
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Top Industries

By visitors reading reviews
Construction Company
13%
Comms Service Provider
8%
Transportation Company
8%
Financial Services Firm
7%
Financial Services Firm
17%
Computer Software Company
8%
Comms Service Provider
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
No data available
 

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 needs improvement with Logstash?
Customization can be automated with Logstash, but it is at the developer's disposal. The developer has to do it, not the tool as such. There is scope for optimization, but that is all outside the t...
What is your primary use case for Logstash?
The purposes for which I am using Logstash largely include log aggregation and application monitoring.
What advice do you have for others considering Logstash?
I am using Logstash for log management and also implement it. Logstash can be deployed both on-cloud and on-premises. On a scale of 1-10, I rate Logstash an 8.
 

Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Information Not Available
Find out what your peers are saying about DNIF HYPERCLOUD vs. Logstash and other solutions. Updated: April 2026.
886,719 professionals have used our research since 2012.