Cribl vs DNIF HYPERCLOUD comparison

Cribl and NETMONASTERY are both solutions in the Log Management category. Cribl is ranked #5 with an average rating of 8.6, while NETMONASTERY is ranked #52. Cribl holds a 2.6% mindshare in Log Management, compared to NETMONASTERY’s 0.6% mindshare. Additionally, 96% of Cribl users are willing to recommend the solution, compared to 85% of NETMONASTERY users who would recommend it.

Cribl

Read 31 Cribl reviews

15,761 Views
8,196 Comparison Views

96% willing to recommend

DNIF HYPERCLOUD

Read 8 DNIF HYPERCLOUD reviews

1,544 Views
772 Comparison Views

85% willing to recommend

Cribl

DNIF HYPERCLOUD

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 28, 2025

DNIF HYPERCLOUD and Cribl compete in data management and analytics. DNIF Hypercloud offers favorable pricing and support, while Cribl excels in feature richness.

Features: DNIF Hypercloud provides robust analytics, scalable data processing, and real-time threat detection. Cribl excels in data streaming with extensive integration capabilities, advanced data manipulation, and efficient data routing.

Room for Improvement: DNIF Hypercloud can enhance its feature set and integration options. Streamlining advanced analytics and improving user interface design would be beneficial. Cribl could benefit from simplifying its setup processes and offering more cost-effective pricing. Alternative licensing models and expanding support resources could also improve its offering.

Ease of Deployment and Customer Service: DNIF Hypercloud offers a straightforward deployment model with strong customer support, enhancing user satisfaction. Cribl has a more complex deployment but compensates with superior technical support.

Pricing and ROI: DNIF Hypercloud is cost-effective with lower setup costs and a compelling ROI, appealing to budget-conscious buyers. Cribl requires a more substantial initial investment but delivers strong ROI through its capabilities and long-term efficiencies.

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

Buyer's Guide

Cribl vs. DNIF HYPERCLOUD

December 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

Cribl

Ranking in Log Management

5th

Ranking in Security Information and Event Management (SIEM)

8th

Average Rating

8.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (9th), Observability Pipeline Software (1st)

DNIF HYPERCLOUD

Ranking in Log Management

52nd

Ranking in Security Information and Event Management (SIEM)

52nd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

User Entity Behavior Analytics (UEBA) (22nd), Security Orchestration Automation and Response (SOAR) (28th)

Mindshare comparison

As of January 2026, in the Log Management category, the mindshare of Cribl is 2.6%, up from 1.1% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Market Share Distribution
Product	Market Share (%)
Cribl	2.6%
DNIF HYPERCLOUD	0.6%
Other	96.8%

Log Management

Featured Reviews

Aman Verma

Senior Software Engineer at a retailer with 1,001-5,000 employees

Has helped reduce daily log volume significantly and streamline data routing across multiple destinations

Regarding complexity, as I mentioned before, Cribl is very simple to use. When I started 2.5 years ago, it was very easy to learn. I learned Cribl within a week, and even though I was a fresher at the time, it was easy to understand and not complex enough that someone would need to spend money on labs. It's not that complex to learn. Regarding cost efficiency, it's very good because nowadays the SIEM tools we use are too expensive on license, and SIEM tools base their license on how many logs get ingested. The unwanted logs, particularly firewall logs, represent a significant portion of unnecessary ingestion. Cribl saves our license by filtering out half of the firewall logs that are unwanted. Our main purpose for using Cribl is to save our license and save money. Currently, everyone is moving toward AI agents. We currently use regex, and AI agents could help us create those regex patterns to drop events or add raw data to events. Currently, we sit down, review the logs, and create regex patterns manually, which can be time-consuming. An AI agent could reduce this time. I read some articles indicating that Cribl Cloud has started using AI and considering MCPs and model context, but I'm not certain how far along they are. If Cribl asked me what they could improve, that would be my suggestion. The support is very good, and I had a few issues with Cribl where I raised support cases and received good responses, which is better than the quick response I didn't get from other SIEM tools and vendor tools I use. Compared to other SIEM tools, Cribl is cheaper than Splunk and DataDogs. However, it's still a bit expensive from my point of view, though I won't call it expensive. Overall, I think 99% of companies use Cribl before their SIEM tools, and compared to SIEM tools, Cribl is cheaper. Companies can use any SIEM tool such as Google, Splunk, or Cisco, and Cribl is cheaper than those SIEM tools. They might have a slight chance to reduce costs further, but I'm not the correct person to evaluate that since I'm more focused on the operational side. Regarding training, it was quite easy to grasp. It took me almost a week to understand the basic functionalities and what Cribl does. Getting more expertise took additional time, but basic functionalities and understanding what Cribl does took around four to five days. One point I want to mention is that Cribl could improve their labs or training materials in their Cribl Cloud or whatever portal they have.

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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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Quotes from Members

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

Pros

"The ease of management and configuration of Cribl Edge features is highly beneficial—I have many thousands of Cribl Edge nodes deployed, and it's very easy to make configuration changes across the board or update the agent."

"The product's most valuable features include the internal management of events, coding perspective, data processing, and serialization."

"The features of Cribl that I appreciate the most are the ability for in-place searching for our logs, so we don't have to move our logs outside of our cloud, which gives us privacy and compliance requirements."

"The feature I appreciate most about Cribl is the interface and how you're able to interact with the data, see the data both live on the ingest side as well as on the side where it goes out to the destination, which is a feature that was lacking in the previous solution I was using."

"The ease of management and configuration of Cribl Edge features is highly beneficial."

"Cribl is specifically designed to reduce the data costs associated with the destination platform, which is one of its core offerings."

"We save about 75% percent of our costs by processing network and firewall logs through Cribl."

"Cribl does a really great job of making sure that no matter how crazy the data set is, we're able to see that data and understand it, and then perform advanced functions against the data to make sure that it is in the ready state for whatever the end place is in which we wish to send it."

More Cribl pros

"Great for scaling productivity for log monitoring purposes."

"Has a great search capability."

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

"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."

"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 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."

More DNIF HYPERCLOUD pros

Cons

"Cribl could be improved by some UI tweaks and some usability tweaks, mostly centered around error troubleshooting for large volumes of Edge nodes."

"The deployment itself is a bit complicated and the documentation is not very clear."

"Regarding Cribl's ability to contain data cost and complexity, if they can reduce their cost, that will make them more competitive."

"Cribl could improve by offering easier integrations with enterprise products, similar to what Splunk provides."

"Cribl could have developed some version that can give backward compatibility."

"There have been several administrative issues. Another point is that the browsing functions aren't very intuitive."

"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"

"Cribl could be improved by some UI tweaks and some usability tweaks, mostly centered around error troubleshooting for large volumes of Edge nodes."

More Cribl cons

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

"The solution's command line should be simpler so that routine commands can be used."

"The EBA could be improved."

"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 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."

"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."

Pricing and Cost Advice

"The product pricing is reasonable compared to other solutions."

"I would not say it is a cheaply priced tool as it has been doing wonders in the market. The tool has been budget-friendly for organizations."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

12%

Healthcare Company

Computer Software Company

Transportation Company

10%

Manufacturing Company

Financial Services Firm

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	18

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

Questions from the Community

What is your experience regarding pricing and costs for Cribl?

I'm not sure of Cribl pricing because it has been procured as a package by our client, and we are not exposed to or do not have an idea of how much they have spent to get a license from Cribl. But ...

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What needs improvement with Cribl?

I am not in a position to comment on how Cribl could be improved or enhanced because it is a good tool, and I have only used a small part of the entire Cribl product. As of now I am pretty happy wi...

See all answers

What is your primary use case for Cribl?

My usual use cases for Cribl involve collecting logs from many endpoints, including user activities. We collect logs into either Log Analytical Workspace or Event Hub and redirect to Cribl so that ...

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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....

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...

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Product Reports

Buyer's Guide

Cribl

January 2026

Download Cribl product report

Buyer's Guide

DNIF HYPERCLOUD

January 2026

Download DNIF HYPERCLOUD product report

Overview

Cribl offers advanced data transformation and routing with features such as data reduction, plugin configurations, and log collection within a user-friendly framework supporting various deployments, significantly reducing data volumes and costs.

Cribl is designed to streamline data management, offering real-time data transformation and efficient log management. It supports seamless SIEM migration, enabling organizations to optimize costs associated with platforms like Splunk through data trimming. The capability to handle multiple data destinations and compression eases log control. With flexibility across on-prem, cloud, or hybrid environments, Cribl provides an adaptable interface that facilitates quick data model replication. While it significantly reduces data volumes, enhancing overall efficiency, there are areas for improvement, including compatibility with legacy systems and integration with enterprise products. Organizations can enhance their operational capabilities through certification opportunities and explore added functionalities tailored towards specific industry needs.

What are Cribl's most important features?

Data Transformation: Real-time data routing and transformation for improved efficiency.
Data Reduction: Reduces data volumes, lowering storage and licensing costs.
Routing and Masking: Offers powerful data masking and easy plugin configurations.
Log Collection: Simplifies the log collection process across different environments.
Deployment Flexibility: Supports on-prem, cloud, or hybrid deployments.
Seamless Integration: Facilitates easy migration to SIEMs and various data destinations.

What benefits or ROI should users look for?

Cost Savings: Reduces licensing costs by trimming unnecessary data.
Enhanced Efficiency: Improves data handling through seamless integration and transformation.
Operational Flexibility: Provides multiple deployment options to suit organizational preferences.
Data Management: Enhances user control over logs with advanced data reduction and compression.
Certification Opportunities: Offers users chances to enhance skills and operational capabilities.

Cribl sees extensive use in industries prioritizing efficient data management and cost optimization. Organizations leverage its capabilities to connect between different data sources, including cloud environments, improving both data handling and storage efficiency. Its customization options appeal to firms needing specific industry compliance and operational enhancements.

Cribl

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

Information Not Available

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

Buyer's Guide

Cribl vs. DNIF HYPERCLOUD

December 2025

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