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Cribl vs DNIF HYPERCLOUD comparison

Cribl and NETMONASTERY are both solutions in the Log Management category. Cribl is ranked #19 with an average rating of 8.0, while NETMONASTERY is ranked #22 with an average rating of 7.8. Cribl holds a 0.8% mindshare in LM, compared to NETMONASTERY’s 0.2% mindshare. Additionally, 90% of Cribl users are willing to recommend the solution, compared to 85% of NETMONASTERY users who would recommend it.
Cribl
Read 9 Cribl reviews
  • 680 Views
  • 561 Comparison Views
90% willing to recommend
DNIF HYPERCLOUD
Read 8 DNIF HYPERCLOUD reviews
  • 702 Views
  • 417 Comparison Views
85% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 26, 2024
\n\n\n Comparison of DNIF HYPERCLOUD and Cribl Stream\n\n\n\n

DNIF HYPERCLOUD and Cribl Stream are competing products in the data analytics and security space. Based on user reviews, Cribl Stream seems to have a more superior feature set, although DNIF HYPERCLOUD is reported to offer more straightforward pricing and better customer support.

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Features:

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DNIF HYPERCLOUD\'s valuable features include comprehensive threat detection, customizable dashboards, and seamless integration capabilities. Cribl Stream users appreciate its log management flexibility, real-time data processing, and broader compatibility with various data sources. The key difference lies in Cribl Stream\'s real-time capabilities that offer users more dynamic data management.

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Room For Improvement:

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DNIF HYPERCLOUD users suggest improvements in performance stability and enhanced documentation. Cribl Stream users express the need for a more intuitive configuration process and better scalability. The main difference is that DNIF HYPERCLOUD needs to focus on reliability, while Cribl Stream should aim at refining configurability and supporting larger data volumes.

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Ease Of Deployment and Customer Service:

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DNIF HYPERCLOUD is praised for its straightforward deployment model and responsive customer service. Cribl Stream, while offering a versatile deployment model, receives mixed reviews on customer support efficiency. Users find DNIF HYPERCLOUD easier to deploy and appreciate the support more than Cribl Stream.

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Pricing and ROI:

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DNIF HYPERCLOUD users report a transparent setup cost with a good return on investment due to its effective functionality. Cribl Stream, though more expensive upfront, is viewed as a high-value investment due to its extensive features and scalability. Key differences indicate DNIF HYPERCLOUD\'s cost-effectiveness and Cribl Stream\'s higher initial cost but perceived long-term benefits.

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To learn more, read our detailed Cribl vs. DNIF HYPERCLOUD Report (Updated: October 2024).
Buyer's Guide
Cribl vs. DNIF HYPERCLOUD
October 2024
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Helped 814,528 peers since 2012
 

Categories and Ranking

Cribl
Ranking in Log Management
19th
Average Rating
8.2
Reviews Sentiment
8.0
Number of Reviews
9
Ranking in other categories
Application Performance Monitoring (APM) and Observability (24th), Data Integration (26th), Cloud Data Integration (15th), Data Preparation Tools (4th)
DNIF HYPERCLOUD
Ranking in Log Management
22nd
Average Rating
7.6
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (25th), User Entity Behavior Analytics (UEBA) (12th), Security Orchestration Automation and Response (SOAR) (14th)
 

Mindshare comparison

As of November 2024, in the Log Management category, the mindshare of Cribl is 0.8%, up from 0.1% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.2%, down from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Hariram G - PeerSpot reviewer
Aug 27, 2024
Collects logs from various cloud sources with reduced costs and improved efficiency
Cribl has simplified many aspects of the onboarding process, but there's still room for improvement. Currently, no other tools in the market truly compete with Cribl in its niche. Splunk is trying to retain customers by developing ingest actions to reduce licensing costs, hoping to prevent them from switching to Cribl. There is no alerting mechanism for the leader/worker nodes status. Since Cribl plays a major role in the mid-layer between the source and destination, there's a slight risk of losing data at some points while receiving real time data. It would be helpful if Cribl could temporarily store or index the data for a specific time range. This would prevent data loss during downtime. Additionally, there's room for improvement in how Cribl handles historical data. Currently, I can't view trends beyond a week, and even then, it’s often limited to just 24 hours. Since Cribl doesn’t index the data but only forwards it, extending the period for viewing statistics and monitoring trends would be a valuable enhancement.
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Kishore Tiwari - PeerSpot reviewer
Nov 23, 2022
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

"Cribl offers easy plugin configurations and source collection settings, allowing us to collect logs from any source."
"Features such as Cribl Stream, Cribl LogStream, and Cribl Edge have been the most beneficial. The Cribl LogStream, in particular, is valuable for routing data, creating firewalls on pipelines, and putting security measures in place to ensure data reaches its destination without issues."
"Cribl offers other valuable features. For instance, you can replay data from an edge device, store your daily data in a stream, and replay specific event data into Splunk if a security incident occurs"
"The platform's most valuable feature is the ability to transform data in real-time within the pipeline without sending it to a destination."
"The capability to reduce logs in a user-friendly manner is a standout feature. Cribl allows us to view logs live as they are being processed, giving us quick feedback on the changes made."
"The product's most valuable features include the internal management of events, coding perspective, data processing, and serialization."
"The support team was very helpful and managed to get everything production-ready."
"When it comes to the product's installation phase, it is not tough for people who have good knowledge...The tool is worth the investment."
"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."
"Has a great search capability."
"The most valuable feature of the solution is the number of EPS it can handle."
"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 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."
"The response time on queries is super-fast."
More DNIF HYPERCLOUD pros
 

Cons

"The sys logging could be enhanced to make it easier to identify errors, especially when dealing with multiple functions."
"Cribl should consider adding more features that are applicable to smaller firms, allowing broader access to their data migration through Cribl."
"There is no alerting mechanism for the leader/worker nodes status."
"There have been several administrative issues. Another point is that the browsing functions aren't very intuitive."
"Cribl could improve by offering easier integrations with enterprise products, similar to what Splunk provides."
"Cribl doesn't have as many packs available"
"Cribl could have developed some version that can give backward compatibility."
"There is room for improvement in the documentation and knowledge base, particularly regarding configurations like sources where logs are being ingested"
"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."
"There are currently some issues with machine learning plug-ins."
"Dependency on the DNIF support team was frustrating."
"The solution's command line should be simpler so that routine commands can be used."
"The EBA could be improved."
"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."
"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

"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 product pricing is reasonable compared to other solutions."
"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 solution requires a huge infrastructure and that is costly."
"The pricing is based on the log size."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
12%
Healthcare Company
9%
Government
9%
Computer Software Company
15%
Financial Services Firm
12%
Real Estate/Law Firm
10%
Construction Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is your experience regarding pricing and costs for Cribl?
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. It would be good if people get into that data analytics ...
See all answers
What needs improvement with Cribl?
The documentation part could be better. Their documentation could be updated, as new features often outdated existing information. Additionally, there are inconsistencies between the documentation ...
See all answers
What is your primary use case for Cribl?
We use Cribl for data normalization, which involves standardizing data from various sources before sending it to a SIEM. This helps reduce costs associated with SIEM ingestion. Additionally, we use...
See all answers
What do you like most about DNIF HYPERCLOUD?
The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies.
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
 

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Product Reports

Buyer's Guide
Cribl
October 2024
Cribl reportDownload Cribl product report
Buyer's Guide
DNIF HYPERCLOUD
October 2024
DNIF HYPERCLOUD reportDownload DNIF HYPERCLOUD product report
 

Learn More

Cribl
NETMONASTERY
 

Overview

Cribl optimizes log collection, data processing, and migration to Splunk Cloud, ensuring efficient data ingestion and management for improved operational efficiency.

Cribl offers seamless log collection directly from cloud sources, allowing users to visually extract necessary data and replay specific events for in-depth analysis. It provides robust management of events, parsing, and enrichment of data, along with effective log size reduction. Cribl is particularly beneficial for migrating enterprise logs, optimizing usage, and reducing costs while streamlining the transition between different log management tools.

What are Cribl's most important features?
  • Real-Time Data Transformation: Enables immediate data processing for accurate insights.
  • Simplified Log Collection: Gathers data from diverse sources effortlessly.
  • Powerful Data Reduction: Reduces log size without losing critical information.
  • Inbuilt Packs: Ready-to-use functions simplify complex tasks.
  • Live Testing: Allows testing before production deployment for reliability.
  • Master Node Updates: Manages worker groups efficiently for consistent performance.
  • Advanced Data Processing: Offers robust data serialization and coding perspectives.
  • Easy Plugin Configurations: Facilitates direct integration with reduced setup time.
What benefits and ROI should users look for?
  • Optimized Usage: Ensures effective resource management and cost reduction.
  • Streamlined Migration: Simplifies the transition between log management tools.
  • Enhanced Data Management: Improves data quality and processing efficiency.
  • Reduced Time and Effort: Direct-to-production capabilities save operational time.

Cribl is widely implemented in industries requiring extensive data management, such as technology and finance. Users leverage Cribl to handle log collection, processing, and migration efficiently, ensuring smooth operation and effective data analysis. It aids in managing temporary data storage during downtimes and better handling historical data, preventing data loss and allowing extended periods for viewing statistics and monitoring trends.

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.

 

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
October 2024
Free Report: Cribl vs. DNIF HYPERCLOUD
Find out what your peers are saying about Cribl vs. DNIF HYPERCLOUD and other solutions. Updated: October 2024.
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