DNIF HYPERCLOUD vs Elastic Observability comparison

NETMONASTERY and Elastic are both solutions in the Log Management category. NETMONASTERY is ranked #22 with an average rating of 7.8, while Elastic is ranked #14 with an average rating of 7.9. NETMONASTERY holds a 0.2% mindshare in LM, compared to Elastic’s 1.9% mindshare. Additionally, 85% of NETMONASTERY users are willing to recommend the solution, compared to 86% of Elastic users who would recommend it.

DNIF HYPERCLOUD

Read 8 DNIF HYPERCLOUD reviews

702 Views
417 Comparison Views

85% willing to recommend

Elastic Observability

Read 24 Elastic Observability reviews

3,545 Views
2,991 Comparison Views

86% 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: October 2024).

Buyer's Guide

DNIF HYPERCLOUD vs. Elastic Observability

October 2024

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Categories and Ranking

DNIF HYPERCLOUD

Ranking in Log Management

22nd

Average Rating

7.6

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (25th), User Entity Behavior Analytics (UEBA) (12th), Security Orchestration Automation and Response (SOAR) (14th)

Elastic Observability

Ranking in Log Management

14th

Average Rating

7.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (8th), IT Infrastructure Monitoring (9th), Container Monitoring (4th), Cloud Monitoring Software (8th)

Mindshare comparison

As of November 2024, in the Log Management category, the mindshare of DNIF HYPERCLOUD is 0.2%, down from 0.3% compared to the previous year. The mindshare of Elastic Observability is 1.9%, 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

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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Subramani K

Solution Architect at HCL Technologies

Jun 27, 2022

The user interface framework lets us do custom development when needed.

So Elastic is basically clusters, right? Basically three, we can go with the basic cluster is a three note cluster. So the implementation is quite simple. It's not very complex. So we have to architect the solution in such a way that we have the right number of replicas and right number of charts and all those to hold the data. So basically we have to architect based on the data ingestion, how much data we are going to ingest in the cluster. So this setup is pretty simple, but we have to have the right inputs, right decisions in place before we even implement it.

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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

"Has a great search capability."

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

"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."

"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."

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

More DNIF HYPERCLOUD pros

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

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

"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

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

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

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

"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."

"The solution is open-source and helps with back-end logging. It is also easy to handle."

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."

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

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

"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."

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

"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

"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."

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

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

"There is room for improvement regarding its APM capabilities."

"Elastic Observability’s price could be improved."

"There could be more low-code features included in the product."

More Elastic Observability cons

Pricing and Cost Advice

"The pricing is based on the log size."

"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."

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

"The product is not that cheap."

"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."

"The price of Elastic Observability is expensive."

"We will buy a premium license after POC."

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

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

"It is expensive. It is not cheap."

More Elastic Observability pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

12%

Real Estate/Law Firm

10%

Construction Company

10%

Financial Services Firm

22%

Computer Software Company

15%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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

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 cheaper in terms of pricing.

See all answers

What needs improvement with Elastic Observability?

I don't know how Elastic can improve. The integration feature I am using is very easy to implement.

See all answers

Comparisons

IBM Security QRadar vs DNIF HYPERCLOUD

Compared 57% of the time

Splunk Enterprise Security vs DNIF HYPERCLOUD

Compared 43% of the time

More DNIF HYPERCLOUD Competitors

New Relic vs Elastic Observability

Compared 17% of the time

Dynatrace vs Elastic Observability

Compared 15% of the time

Grafana vs Elastic Observability

Compared 10% of the time

Sentry vs Elastic Observability

Compared 10% of the time

Azure Monitor vs Elastic Observability

Compared 10% of the time

More Elastic Observability Competitors

Product Reports

Buyer's Guide

DNIF HYPERCLOUD

October 2024

Download DNIF HYPERCLOUD product report

Buyer's Guide

Elastic Observability

October 2024

Download Elastic Observability product report

Learn More

NETMONASTERY

Elastic

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.

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.

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

October 2024

Free Report: DNIF HYPERCLOUD vs. Elastic Observability

Find out what your peers are saying about DNIF HYPERCLOUD vs. Elastic Observability and other solutions. Updated: October 2024.

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