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Coralogix vs DNIF HYPERCLOUD comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 18, 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

Coralogix
Ranking in Log Management
20th
Ranking in Security Information and Event Management (SIEM)
20th
Average Rating
8.4
Reviews Sentiment
6.6
Number of Reviews
14
Ranking in other categories
Application Performance Monitoring (APM) and Observability (21st), API Management (14th), Streaming Analytics (15th), Anomaly Detection Tools (2nd), AI Observability (14th)
DNIF HYPERCLOUD
Ranking in Log Management
51st
Ranking in Security Information and Event Management (SIEM)
52nd
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
User Entity Behavior Analytics (UEBA) (22nd), Security Orchestration Automation and Response (SOAR) (27th)
 

Mindshare comparison

As of March 2026, in the Log Management category, the mindshare of Coralogix is 1.2%, up from 0.7% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.8%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Coralogix1.2%
DNIF HYPERCLOUD0.8%
Other98.0%
Log Management
 

Featured Reviews

Naveenkumar Lakshman - PeerSpot reviewer
Presales Engineer at Crayon AS
Centralized monitoring has improved real-time issue tracking and reduced root cause analysis time
One of the best features that Coralogix offers is that it is integration friendly. I can seamlessly work with different cloud providers including AWS, Azure, and GCP. I can monitor Kubernetes or Docker platforms as well, and I can integrate with the DevOps chain including Jenkins and all infrastructure code, Terraform, or Ansible. Coralogix has positively impacted my organization by providing a centralized console to monitor the dashboard, giving me rich flexibility to see different sorts of data that is spread across the logs, metrics, or traces, which are the typical pillars of the observability tool. I have the interface where I can use the drag-and-drop feature, and I can create different types of charts. Mainly, I have the line charts and time series ones that I generally use in many use cases, gauges, tables, pie charts, or markdown widgets. These are the ones generically available, and I can switch between the visualization types. I am getting the underlying query in that and can import and export dashboards built upon the JSON format. I can have my own APIs integrated with my dashboards as well, such as with Terraform, which is useful for scaling across my environments. Regarding root cause analysis, mainly what I can do is correlate across all of the layers because the main logs that I work on are storage-related, including CIFS, NFS, SAN traffic, and the metrics including storage, throughput, or VM resource usage. Being able to view logs, metrics, or traces available, I get all of these in one place, and I can do root cause analysis much quicker.
Kishore Tiwari - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The overall stability and reliability of Coralogix are excellent, and I rarely encounter issues."
"After implementing Coralogix, I noticed specific outcomes and improvements; whenever we try to fetch the data or check the monitoring logs, the spikes, the bars, and the graphs open very quickly, the latency is really very low, and it opens everything very fast, which makes a good impact on our organization."
"The solution is easy to use and to start with."
"The solution offers very good convenience filtering."
"The most valuable feature of Coralogix is that it is a very good vendor for metrics."
"Coralogix scales well, and I will rate it nine out of ten."
"For now, we have not experienced any stability issues."
"The log monitoring is good, and the dashboards that we create are beneficial."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"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 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 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."
"Great for scaling productivity for log monitoring purposes."
"The most valuable feature of the solution is the number of EPS it can handle."
 

Cons

"The documentation of the tool could be improved"
"The customizable dashboards haven't really helped with my company's efficiency at all, and I think there's room for improvement."
"It would be helpful if Coralogix could integrate the main modules that any organization requires into a single subscription."
"Coralogix's dashboard and search capabilities do not help me in any particular way."
"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions."
"The user interface could be more intuitive and explanatory."
"As a relatively new product, there are some rough edges yet and your mileage may vary."
"Maybe they could make it more user-friendly."
"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 EBA could be improved."
"There are currently some issues with machine learning plug-ins."
"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."
"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."
"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."
 

Pricing and Cost Advice

"The platform has a reasonable cost. I rate the pricing a three out of ten."
"The cost of the solution is per volume of data ingested."
"Currently, we are at a very minimal cost, which is around $400 per month since we have reduced our usage. Initially, we were at $900 per month."
"We are paying roughly $5,000 a month."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
10%
Computer Software Company
10%
Manufacturing Company
8%
Comms Service Provider
7%
Transportation Company
9%
Comms Service Provider
9%
Financial Services Firm
7%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise2
Large Enterprise6
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
 

Questions from the Community

What do you like most about Coralogix?
Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams.
What is your experience regarding pricing and costs for Coralogix?
I am not aware of the pricing, setup cost, and licensing for Coralogix, as this comes under the business analyst, marketing team, and pre-sales team. I am from the technical line.
What needs improvement with Coralogix?
I think Coralogix can be improved by setting up some AI type of tool inside it which can help new users. Whenever they face any kind of issue or troubleshooting problem, I know that they already sh...
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...
 

Overview

 

Sample Customers

Payoneer, AGS, Monday.com, Capgemini
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Find out what your peers are saying about Coralogix vs. DNIF HYPERCLOUD and other solutions. Updated: March 2026.
884,873 professionals have used our research since 2012.