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DNIF HYPERCLOUD vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

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
8
Ranking in other categories
Security Information and Event Management (SIEM) (54th), User Entity Behavior Analytics (UEBA) (23rd), Security Orchestration Automation and Response (SOAR) (29th)
Elastic Observability
Ranking in Log Management
16th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
27
Ranking in other categories
Application Performance Monitoring (APM) and Observability (7th), IT Infrastructure Monitoring (11th), Container Monitoring (4th), Cloud Monitoring Software (7th)
 

Mindshare comparison

As of June 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 1.3%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Kishore Tiwari - PeerSpot reviewer
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.
Adelina Craciun - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The response time on queries is super-fast."
"The beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"Has a great search capability."
"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."
"Great for scaling productivity for log monitoring purposes."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"Good design and easy to use once implemented."
"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."
"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."
"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."
"Machine learning is the most valuable feature of this solution."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"The solution allows us to dig deep into data."
"For full stack observability, Elastic is the best tool compared with any other tool ."
 

Cons

"The solution's command line should be simpler so that routine commands can be used."
"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."
"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 feel that DNIF needs to invest more in marketing, considering that it operates at a very competitive speed."
"Dependency on the DNIF support team was frustrating."
"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."
"Elastic Observability’s price could be improved."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"There is room for improvement regarding its APM capabilities."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability needs to have better standardization, logging, and schema."
"There's a steep learning curve if you've never used this solution before."
 

Pricing and Cost Advice

"The solution requires a huge infrastructure and that is costly."
"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."
"We will buy a premium license after POC."
"The price of Elastic Observability is expensive."
"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."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"We have been using the open-source version."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"The product’s pricing needs improvement."
"The product is not that cheap."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
11%
Real Estate/Law Firm
9%
Media Company
9%
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
 

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...
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....
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...
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...
What is your experience regarding pricing and costs for Elastic Observability?
The license for Elastic Observability is the same as for other uses; you pay for Elastic, and you can use it for various cases. Observability is actually cheaper compared to logs because you're not...
What needs improvement with Elastic Observability?
I think they are working on the AI-based features, which are currently in technical preview. The only challenging aspect for new users is often writing the query language. Basic searching is very e...
 

Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about DNIF HYPERCLOUD vs. Elastic Observability and other solutions. Updated: June 2025.
859,438 professionals have used our research since 2012.