Amazon OpenSearch Service vs DNIF HYPERCLOUD comparison

Amazon Web Services (AWS) and NETMONASTERY are both solutions in the Log Management category. Amazon Web Services (AWS) is ranked #21 with an average rating of 7.2, while NETMONASTERY is ranked #53. Amazon Web Services (AWS) holds a 2.6% mindshare in Log Management, compared to NETMONASTERY’s 0.2% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 85% of NETMONASTERY users who would recommend it.

Amazon OpenSearch Service

Read 6 Amazon OpenSearch Service reviews

1,959 Views
844 Comparison Views

83% willing to recommend

DNIF HYPERCLOUD

Read 8 DNIF HYPERCLOUD reviews

519 Views
133 Comparison Views

85% willing to recommend

Amazon OpenSearch Service

DNIF HYPERCLOUD

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

DNIF HYPERCLOUD and Amazon OpenSearch Service are key players in data analytics platforms. Amazon OpenSearch Service is often seen as having an edge because of its scalability and advanced analytics capabilities.

Features: DNIF HYPERCLOUD offers strong SIEM capabilities, seamless integration within legacy systems, and effective threat detection tools. Amazon OpenSearch Service is recognized for its scalability, extensive data visualization options, and flexible analytics tools.

Room for Improvement: DNIF HYPERCLOUD needs enhancements in dashboard customization, documentation, and functionality expansion to better meet user requirements. Amazon OpenSearch Service could improve alerting precision, search query optimization, and overall user interface experience.

Ease of Deployment and Customer Service: DNIF HYPERCLOUD supports straightforward deployment with an intuitive setup and reliable customer service. Amazon OpenSearch Service, though slightly more complex to deploy, offers extensive documentation and benefits from a large community for support.

Pricing and ROI: DNIF HYPERCLOUD is praised for its competitive pricing and reasonable ROI with lower initial setup costs. Amazon OpenSearch Service, despite higher setup costs, is valued for delivering impressive long-term ROI due to its comprehensive features and scalability.

To learn more, read our detailed Amazon OpenSearch Service vs. DNIF HYPERCLOUD Report (Updated: June 2025).

Buyer's Guide

Amazon OpenSearch Service vs. DNIF HYPERCLOUD

June 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 OpenSearch Service

Ranking in Log Management

21st

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (24th)

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) (23rd), Security Orchestration Automation and Response (SOAR) (29th)

Mindshare comparison

As of June 2025, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.6%, up from 0.2% 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

VijayKumar27

Software Engineer at The American College

Effective as a vector store, serverless architecture but there aren't enough security features

The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing. Even being serverless, it incurs charges during idle times. For just holding data, you need to create a list. AWS should add an option to make data idle, so it won't include computing charges. They charge for OCU units based on the time the serverless solution is up, not on indexing or retrieval speed. Once the service starts, it starts getting billed. It would help if there were an option to limit computing. When using it as a database, storing data without frequent fetching would save computing costs.

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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

"This service already sorts data like vectors. They have classified the storage pre-defined."

"The business analytics capabilities are the most important feature it provides."

"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."

"The customer service is excellent, rated nine out of ten."

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."

"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

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

"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 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."

"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 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."

"Great for scaling productivity for log monitoring purposes."

More DNIF HYPERCLOUD pros

Cons

"One improvement I would like to see is support for auto-scaling."

"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."

"They can enhance data visualization."

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"One improvement I would like to see is support for auto-scaling."

"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."

"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."

"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."

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

"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 EBA could be improved."

"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."

"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

Information not available

"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 solution requires a huge infrastructure and that is costly."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

14%

Manufacturing Company

Government

Computer Software Company

15%

Financial Services Firm

11%

Real Estate/Law Firm

Media Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon OpenSearch Service?

We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage

See all answers

What is your experience regarding pricing and costs for Amazon OpenSearch Service?

I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...

See all answers

What needs improvement with Amazon OpenSearch Service?

In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle t...

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...

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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....

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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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Comparisons

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Compared 5% of the time

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Compared 20% of the time

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Compared 19% of the time

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Compared 19% of the time

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Compared 17% of the time

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Product Reports

Buyer's Guide

Amazon OpenSearch Service

June 2025

Download Amazon OpenSearch Service product report

Buyer's Guide

DNIF HYPERCLOUD

June 2025

Download DNIF HYPERCLOUD product report

Overview

Amazon OpenSearch Service is often used for log analysis, real-time application monitoring, and searching large datasets. Users benefit from its scalability, ease of use, and AWS integration, appreciating its capability to handle high data volumes while providing efficient search functionalities.

Many users choose Amazon OpenSearch Service for its powerful search and indexing capabilities, real-time analytics, and strong integration with AWS services. Key highlights include minimal downtime, detailed documentation, and efficient data processing. Scalability and automatic scaling are standout features, enabling users to manage high data volumes seamlessly. However, there is a call for improved integration, enhanced stability, and better support. Some users find the setup and configuration process challenging and desire more customization options for security features.

What are the key features of Amazon OpenSearch Service?

Scalability: Automatically scales to accommodate data growth and workload fluctuations.
Real-Time Analytics: Provides up-to-date insights and monitoring for applications.
Integration with AWS: Easily integrates with other AWS services, enhancing workflows.
Powerful Search Capabilities: Fast and efficient search and indexing functionalities.
Detailed Documentation: Comprehensive guides and resources to assist users.
Security Features: Flexible security options to protect data and manage access.

What benefits should users look for in reviews?

Efficiency: Quick data processing and minimal downtime.
Scalability: Ability to handle increasing data volumes without manual intervention.
Ease of Use: User-friendly interface and management tools.
Reliability: Consistent performance with robust support for data management workflows.
Integration: Seamless integration with existing AWS services and infrastructure.

In industries such as finance, healthcare, and e-commerce, Amazon OpenSearch Service is implemented to manage and analyze large datasets in real time. Companies benefit from its ability to monitor application performance, analyze log data, and enhance search functionalities, leading to improved operational efficiency and decision-making processes.

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

Information Not Available

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

Buyer's Guide

Amazon OpenSearch Service vs. DNIF HYPERCLOUD

June 2025

Free Report: Amazon OpenSearch Service vs. DNIF HYPERCLOUD

Find out what your peers are saying about Amazon OpenSearch Service vs. DNIF HYPERCLOUD and other solutions. Updated: June 2025.

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