Amazon CloudWatch vs DNIF HYPERCLOUD comparison

Amazon Web Services (AWS) and NETMONASTERY are both solutions in the Log Management category. Amazon Web Services (AWS) is ranked #14 with an average rating of 8.2, while NETMONASTERY is ranked #53. Amazon Web Services (AWS) holds a 1.9% mindshare in Log Management, compared to NETMONASTERY’s 0.2% mindshare. Additionally, 89% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 85% of NETMONASTERY users who would recommend it.

Amazon CloudWatch

Read 46 Amazon CloudWatch reviews

2,234 Views
1,922 Comparison Views

89% willing to recommend

DNIF HYPERCLOUD

Read 8 DNIF HYPERCLOUD reviews

518 Views
301 Comparison Views

85% willing to recommend

Amazon CloudWatch

DNIF HYPERCLOUD

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Amazon CloudWatch and DNIF HYPERCLOUD compete in enterprise monitoring and management tools. While both are strong in their own right, DNIF HYPERCLOUD leads slightly with its advanced threat detection capabilities, though Amazon CloudWatch offers better integration with AWS services and pricing flexibility.

Features:Amazon CloudWatch is known for seamless AWS integration, flexible monitoring, and comprehensive log management services. DNIF HYPERCLOUD provides robust threat detection, advanced analytics, and extensive security intelligence features.

Room for Improvement:Amazon CloudWatch can improve its cross-platform monitoring abilities, user interface, and alert customization. DNIF HYPERCLOUD needs enhancements in user experience, streamlined feature accessibility, and simplified setup.

Ease of Deployment and Customer Service:Amazon CloudWatch allows straightforward deployment within AWS with occasional gaps in customer service responsiveness. DNIF HYPERCLOUD can be complex to implement but is supported by responsive customer service, providing guidance that eases deployment challenges.

Pricing and ROI:Amazon CloudWatch is competitively priced, particularly advantageous for businesses using AWS, delivering a solid ROI in these cases. DNIF HYPERCLOUD has higher perceived costs but offers significant ROI with powerful analytics and detection capabilities for comprehensive threat management.

To learn more, read our detailed Amazon CloudWatch vs. DNIF HYPERCLOUD Report (Updated: April 2025).

Buyer's Guide

Amazon CloudWatch vs. DNIF HYPERCLOUD

April 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

Amazon CloudWatch

Ranking in Log Management

14th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (13th), Cloud Monitoring Software (10th)

DNIF HYPERCLOUD

Ranking in Log Management

53rd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (54th), User Entity Behavior Analytics (UEBA) (21st), Security Orchestration Automation and Response (SOAR) (27th)

Mindshare comparison

As of April 2025, in the Log Management category, the mindshare of Amazon CloudWatch is 1.9%, up from 1.0% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

Rasanpreet Singh

Senior Consultant at Infosys

Reliable AWS monitoring and logging

The choice of logging solution should always be determined by the specific business requirements. It is crucial to align the logging strategy with what type of logs are needed and how they should be used. There are instances where we require custom solutions to retrieve logs, especially application logs that may not be easily accessible through CloudWatch or similar services. When we heavily rely on AWS native services, CloudWatch is indeed a robust choice. However, in certain scenarios, we might need integration capabilities with other tools, and if they can incorporate such features, it would enhance overall logging capabilities. I would rate it eight out of ten.

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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

"Most of it's around optimizing utilization, their cloud utilization. They're making sure that they're getting the most out of their in-cloud environments and their instances. Making sure that there's no strange behavior in the environment."

"The solution gives us very good real-time data."

"It offers direct integrations with various storage providers, making it convenient to push logs from CloudWatch to these external platforms."

"You can enable alarms and metrics, and it has robust integration with AWS services. You can also trigger events. For example, if the CPU utilization is above 80%, it can launch a new instance for you."

"Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks."

"The most valuable part is the metrics part, which is really good."

"The detection is the most valuable feature."

"The most valuable features of Amazon CloudWatch are metrics, dashboards, alarms, logs, events, logs insight, and application insights."

More Amazon CloudWatch pros

"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 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 most valuable feature of the solution is the number of EPS it can handle."

"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 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."

"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

"Amazon CloudWatch needs improvement. The main thing is we have noticed missing logs."

"The integration with third-party tools must be made easier."

"Right now, in relation to monitoring services, there are too many services and too many metrics per service."

"The dashboard of Amazon CloudWatch is not very customizable right now."

"The product's configuration has some challenges. The solution needs to be more user-friendly."

"The configuration capabilities could be better."

"Amazon CloudWatch's pricing needs improvement."

"Better reporting is always something needed. That could be an answer to just about anything. But you always want better reporting, better dashboards, things that are just more dynamic and more accessible."

More Amazon CloudWatch cons

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

"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."

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

"There are currently some issues with machine learning plug-ins."

Pricing and Cost Advice

"The solution is expensive."

"Amazon CloudWatch has very cheap pricing, and it hardly costs my company $25-$30 a month for fifty systems, so it's pretty affordable."

"The price is okay for me."

"The pricing can be considered reasonable, especially when already operating on a cloud platform."

"Its pricing is reasonable. It is sometimes tricky, but it is reasonable as compared to others."

"We have monthly licensing costs. The licenses are probably in the vicinity of about $300 - $350/month."

"It is a free-of-charge service."

"Amazon CloudWatch is a cheap solution."

More Amazon CloudWatch 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."

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

17%

Manufacturing Company

University

Computer Software Company

17%

Financial Services Firm

12%

Media Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Amazon CloudWatch?

The monitoring features are valuable.

See all answers

What is your experience regarding pricing and costs for Amazon CloudWatch?

Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline, which I see as a disadvantage given the price.

See all answers

What needs improvement with Amazon CloudWatch?

Amazon CloudWatch charges extra for custom metrics, which is a significant disadvantage. Another aspect that needs improvement is the look and feel of custom dashboards, which currently do not matc...

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

Comparisons

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Compared 16% of the time

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Compared 14% of the time

Dynatrace vs Amazon CloudWatch

Compared 7% of the time

New Relic vs Amazon CloudWatch

Compared 5% of the time

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Fortinet FortiAnalyzer vs DNIF HYPERCLOUD

Compared 37% of the time

Seceon Open Threat Management Platform vs DNIF HYPERCLOUD

Compared 34% of the time

LogRhythm SIEM vs DNIF HYPERCLOUD

Compared 29% of the time

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Product Reports

Buyer's Guide

Amazon CloudWatch

April 2025

Download Amazon CloudWatch product report

Buyer's Guide

DNIF HYPERCLOUD

April 2025

Download DNIF HYPERCLOUD product report

Overview

Amazon CloudWatch is used for monitoring, tracking logs, and organizing metrics across AWS services. It detects anomalies, sets dynamic alarms, and automates actions to optimize cloud utilization, troubleshoot, and ensure service availability.

Organizations leverage Amazon CloudWatch for collecting and analyzing logs, triggering alerts, and profiling application performance. It's also employed for monitoring bandwidth, virtual machines, Lambda functions, and Kubernetes clusters. Valuable features include seamless integration with AWS, real-time data and alerts, detailed metrics, and a user-friendly interface. It provides robust monitoring capabilities for infrastructure and application performance, log aggregation, and analytics. Users appreciate its scalability, ease of setup, and affordability. Additional key aspects are the ability to create alarms, dashboards, and automated responses, along with detailed insights into system and application health. Room for improvement includes dashboards and UI enhancements for better visualization and customizability, log streaming speed, advanced machine learning and reporting capabilities, pricing, and integration with non-AWS services and databases. Users also seek more real-time monitoring and comprehensive application performance features, and simpler alerts and configuration processes.

What are the most important features?

Seamless integration with AWS: Ensures smooth operation with AWS services.
Real-time data and alerts: Provides immediate insights and notifications.
Detailed metrics: Offers in-depth data on infrastructure and application performance.
Scalability: Supports growing needs with ease.
Ease of setup: Quick and straightforward installation.
Affordability: Cost-effective monitoring solution.
Alarms and dashboards: Customizable alerts and visual insights.
Automated responses: Facilitates automatic actions based on set criteria.
System and application health insights: Delivers comprehensive health reports.

What benefits and ROI can users expect?

Optimized cloud utilization: Ensures efficient use of resources.
Improved troubleshooting: Identifies and resolves issues quickly.
Enhanced service availability: Keeps services running smoothly.
Effective log analysis: Provides valuable insights from collected logs.
Performance profiling: Assesses and optimizes application performance.
Scalable monitoring: Adapts to growing business needs.

Amazon CloudWatch is implemented across a range of industries, including technology, finance, healthcare, and retail. Technology firms use it to monitor application performance and traffic, while financial organizations leverage it for ensuring compliance and system reliability. Healthcare entities rely on it for maintaining service availability and monitoring data flow, and retail companies utilize it for tracking customer interactions and optimizing server usage.

Amazon Web Services (AWS)

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

AirAsia, Airbnb, Aircel, APUS, Avazu, Casa & Video, Futbol Club Barcelona (FCBarcelona), National Taiwan University, redBus

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

Buyer's Guide

Amazon CloudWatch vs. DNIF HYPERCLOUD

April 2025

Free Report: Amazon CloudWatch vs. DNIF HYPERCLOUD

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