DNIF HYPERCLOUD vs Elastic Observability comparison

Why PeerSpot?

NETMONASTERY and Elastic are both solutions in the Log Management category. NETMONASTERY is ranked #42, while Elastic is ranked #14 with an average rating of 9.0. NETMONASTERY holds a 1.1% mindshare in Log Management, compared to Elastic’s 1.3% mindshare. Additionally, 85% of NETMONASTERY users are willing to recommend the solution, compared to 88% of Elastic users who would recommend it.

DNIF HYPERCLOUD

Read 8 DNIF HYPERCLOUD reviews

5,331 Views
2,825 Comparison Views

85% willing to recommend

Elastic Observability

Read 29 Elastic Observability reviews

12,194 Views
3,414 Comparison Views

88% willing to recommend

DNIF HYPERCLOUD

Elastic Observability

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

DNIF HYPERCLOUD and Elastic Observability compete in the monitoring and analysis of logs, traces, and metrics. Elastic Observability seems to have the upper hand with its comprehensive features, which users believe justify its higher pricing.

Features: DNIF HYPERCLOUD is noted for its scalability, offering advanced automation capabilities and seamless cloud integration suited for large-scale data processing. Elastic Observability provides robust analytical tools, flexible customization options, and detailed monitoring and diagnostics capabilities that users find advantageous.

Room for Improvement: Users suggest DNIF HYPERCLOUD could enhance its documentation and reporting capabilities and simplify navigation in complex scenarios. Elastic Observability users desire improved integration with third-party tools, a simpler configuration process, and enhancements to streamline user interaction.

Ease of Deployment and Customer Service: DNIF HYPERCLOUD has an efficient deployment process with straightforward setup and responsive customer service. Elastic Observability has a more complex deployment, yet it is supported by strong customer service that effectively addresses issues.

Pricing and ROI: DNIF HYPERCLOUD is seen as a cost-effective solution with low setup costs and a solid return on investment, appealing to budget-conscious buyers. Elastic Observability, despite its higher costs, offers an enhanced ROI through its extensive feature set, which users find to be a worthwhile investment in the long term.

To learn more, read our detailed DNIF HYPERCLOUD vs. Elastic Observability Report (Updated: September 2026).

Buyer's Guide

DNIF HYPERCLOUD vs. Elastic Observability

September 2026

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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

DNIF HYPERCLOUD

Ranking in Log Management

42nd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (45th), User Entity Behavior Analytics (UEBA) (19th), Security Orchestration Automation and Response (SOAR) (27th)

Elastic Observability

Ranking in Log Management

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (11th), IT Infrastructure Monitoring (13th), Container Monitoring (5th), Cloud Monitoring Software (12th)

Mindshare comparison

As of October 2026, in the Log Management category, the mindshare of DNIF HYPERCLOUD is 1.1%, up from 0.3% compared to the previous year. The mindshare of Elastic Observability is 1.3%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.3%
DNIF HYPERCLOUD	1.1%
Other	97.6%

Log Management

Featured Reviews

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.

Read full review

Stefan Decuypere

Technology Consultant at Hybrid software

Real-time dashboards and visual insights have streamlined issue analysis and monitoring

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system, I know what it costs but am not directly involved in cost-benefit evaluations or maintenance, which is handled by another team. I develop the visual representation of the data and frankly, I don't see major gaps in my application or anything I would really miss; I appreciate the fast pace of the developments that have occurred in the last couple of years. Regarding room for improvement in Elastic Observability, I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking.

Read full review

Quotes from Members

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

Pros

"The benefit of DNIF was that the solution was able to detect any anomalies and identify and prevent any possible security threats or attacks."

"If you're an enterprise company and want to scale your productivity for log monitoring purposes, I found DNIF a better option than Splunk which has more complex software."

"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 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 response time on queries is super-fast."

"Has a great search capability."

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

More DNIF HYPERCLOUD pros

"It is very stable, and I would rate it ten out of ten based on my interaction with it."

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."

"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."

"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."

"The solution allows us to track performance via metrics and we're able to see where latency is happening."

"Its diverse set of features available on the cloud is of significant importance."

"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."

More Elastic Observability pros

Cons

"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."

"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."

"The EBA could be improved."

"The solution should be able to connect to endpoints, such as desktops and laptops."

"DNIF HYPERCLOUD is not a stable product compared to other tools like IBM QRadar."

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

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

More DNIF HYPERCLOUD cons

"Elastic Observability’s price could be improved."

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."

"The only challenging aspect for new users is often writing the query language."

"I would advise others to use a different solution than Elastic APM."

"More web features could be added to the product."

"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

"The interface could be improved."

More Elastic Observability cons

Pricing and Cost Advice

"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."

"We will buy a premium license after POC."

"The price of Elastic Observability is expensive."

"Pricing is one of those situations where the more you use it, the more you pay."

"The product is not that cheap."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"Elastic Observability's pricing could be better for small-scale users."

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"Since we are a huge company, Elastic Observability is an affordable solution for us."

More Elastic Observability pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

15%

Outsourcing Company

14%

Comms Service Provider

11%

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

Questions from the Community

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What is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

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What needs improvement with Elastic Observability?

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What is your primary use case for Elastic Observability?

My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.

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Comparisons

IBM Security QRadar vs DNIF HYPERCLOUD

Compared 9% of the time

Splunk Enterprise Security vs DNIF HYPERCLOUD

Compared 8% of the time

Elastic Security vs DNIF HYPERCLOUD

Compared 7% of the time

Centrify Privilege Threat Analytics Service vs DNIF HYPERCLOUD

Compared 4% of the time

Seceon Open Threat Management Platform vs DNIF HYPERCLOUD

Compared 3% of the time

More DNIF HYPERCLOUD Competitors

Splunk AppDynamics vs Elastic Observability

Compared 5% of the time

Dynatrace vs Elastic Observability

Compared 4% of the time

Grafana vs Elastic Observability

Compared 4% of the time

New Relic vs Elastic Observability

Compared 3% of the time

Datadog vs Elastic Observability

Compared 3% of the time

More Elastic Observability Competitors

Product Reports

Buyer's Guide

DNIF HYPERCLOUD

October 2026

Download DNIF HYPERCLOUD product report

Buyer's Guide

Elastic Observability

October 2026

Download Elastic Observability product report

Overview

DNIF HYPERCLOUD provides efficient security monitoring with fast queries, user-friendly features, and built-in threat detection, offering open-source infrastructure support for improved performance.

DNIF HYPERCLOUD integrates with network devices, servers, and applications for comprehensive log collection and security monitoring, enhancing compliance through unauthorized activity detection. Its scalability and real-time alerting align with the MITRE ATT&CK framework, making it valuable for security operations centers and emergency response systems. While handling high EPS, it includes advanced features like threat hunting and malware detection, though it faces challenges with export limitations and backend dependencies.

What are DNIF HYPERCLOUD's key features?

Fast Query Response: Delivers quick data retrieval, enhancing analysis speed.
Effective Search: Advanced search capabilities with enhanced queries.
MITRE Table Integration: Aligns closely with MITRE ATT&CK framework for strategic security mapping.
User Entity Behavior Analytics: Supports rapid emergency responses through behavior analysis.
Built-in Threat Hunting: Proactively identifies potential threats and vulnerabilities.
Malware Detection: Detects and mitigates malware threats automatically.

What benefits and ROI should users expect?

High EPS Handling: Efficiently manages events per second for large-scale operations.
Cost-Effective Infrastructure: Utilizes open-source development, reducing dependency on licenses.
User-Friendly Interface: Easier to use than earlier versions and complex alternatives.
Compliance Support: Aids in maintaining compliance through log retention.
Threat Detection: Provides robust real-time alerting and log correlation.

In finance, DNIF HYPERCLOUD aids in detecting unauthorized transactions, ensuring regulatory compliance. In healthcare, it supports data protection and threat intelligence integration, while in manufacturing, it secures IoT devices and monitors cyber threats, integrating with existing systems for streamlined security operations.

NETMONASTERY

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Sample Customers

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

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Buyer's Guide

DNIF HYPERCLOUD vs. Elastic Observability

September 2026

Free Report: DNIF HYPERCLOUD vs. Elastic Observability

Find out what your peers are saying about DNIF HYPERCLOUD vs. Elastic Observability and other solutions. Updated: September 2026.

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