DNIF HYPERCLOUD vs Elastic Observability comparison

NETMONASTERY and Elastic are both solutions in the Log Management category. NETMONASTERY is ranked #53, while Elastic is ranked #15 with an average rating of 8.1. NETMONASTERY holds a 0.2% mindshare in Log Management, compared to Elastic’s 1.4% 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

518 Views
301 Comparison Views

85% willing to recommend

Elastic Observability

Read 26 Elastic Observability reviews

2,906 Views
2,520 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: April 2025).

Buyer's Guide

DNIF HYPERCLOUD vs. Elastic Observability

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

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)

Elastic Observability

Ranking in Log Management

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (7th), IT Infrastructure Monitoring (7th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Mindshare comparison

As of May 2025, in the Log Management category, the mindshare of DNIF HYPERCLOUD is 0.2%, down from 0.2% compared to the previous year. The mindshare of Elastic Observability is 1.4%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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.

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Adelina Craciun

Product Owner at Swisscom

Customization enables tailored monitoring and alerting across departments

The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

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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 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."

"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 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."

"Has a great search capability."

"The response time on queries is super-fast."

More DNIF HYPERCLOUD pros

"We can view and connect different sources to the dashboard using it."

"The solution allows us to dig deep into data."

"It has always been a stable solution."

"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."

"Good design and easy to use once implemented."

"The most valuable feature of Elastic Observability is the text search."

"It is scalable and supports multitenancy, which is beneficial for MSPs."

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

More Elastic Observability pros

Cons

"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."

"Dependency on the DNIF support team was frustrating."

"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."

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

"The EBA could be improved."

"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 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 solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."

"One example is the inability to monitor very old databases with the newest version."

"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."

"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."

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

"There's a steep learning curve if you've never used this solution before."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."

More Elastic Observability cons

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."

"The product is not that cheap."

"We have been using the open-source version."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

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

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

"The product’s pricing needs improvement."

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

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

More Elastic Observability pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

14%

Real Estate/Law Firm

Educational Organization

Financial Services Firm

19%

Computer Software Company

16%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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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What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

See all answers

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

Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.

See all answers

What needs improvement with Elastic Observability?

Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...

See all answers

Comparisons

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Compared 41% of the time

Fortinet FortiAnalyzer vs DNIF HYPERCLOUD

Compared 31% of the time

LogRhythm SIEM vs DNIF HYPERCLOUD

Compared 28% of the time

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New Relic vs Elastic Observability

Compared 15% of the time

Sentry vs Elastic Observability

Compared 14% of the time

Dynatrace vs Elastic Observability

Compared 12% of the time

Grafana vs Elastic Observability

Compared 9% of the time

Zabbix vs Elastic Observability

Compared 8% of the time

More Elastic Observability Competitors

Product Reports

Buyer's Guide

DNIF HYPERCLOUD

April 2025

Download DNIF HYPERCLOUD product report

Buyer's Guide

Elastic Observability

April 2025

Download Elastic Observability product report

Overview

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

Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.

Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.

What are Elastic Observability's key features?

Economic licensing: Offers cost-effective plans.
Extensive metrics tracking: Helps in comprehensive system monitoring.
Comprehensive logging: Centralizes log data efficiently.
Performance Monitoring: Provides robust APM capabilities.
Integration: Seamlessly integrates with other solutions.
Kibana visualization: Facilitates data visualization and reporting.
Machine learning support: Enables advanced data analysis.
Flexible deployment: Supports various deployment environments.
Rapid log searches: Enhances quick incident response.
Accessibility: Offers extensive online documentation and connector support.

What benefits or ROI should users look for in Elastic Observability reviews?

Stability: Look for consistent performance and reliability.
Compliance: Effective monitoring aids in regulation adherence.
System Security: Enhanced system monitoring and alert management.
Cost-Effectiveness: Evaluate the economic pricing models.
Scalability: Adequate scalability options for growing needs.

Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.

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

April 2025

Free Report: DNIF HYPERCLOUD vs. Elastic Observability

Find out what your peers are saying about DNIF HYPERCLOUD vs. Elastic Observability and other solutions. Updated: April 2025.

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