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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
12th
Ranking in Security Information and Event Management (SIEM)
12th
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
22
Ranking in other categories
Application Performance Monitoring (APM) and Observability (12th), API Management (9th), Streaming Analytics (10th), Anomaly Detection Tools (2nd), AI Observability (9th)
DNIF HYPERCLOUD
Ranking in Log Management
45th
Ranking in Security Information and Event Management (SIEM)
45th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
User Entity Behavior Analytics (UEBA) (19th), Security Orchestration Automation and Response (SOAR) (28th)
 

Mindshare comparison

As of August 2026, in the Log Management category, the mindshare of Coralogix is 1.6%, up from 0.8% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 1.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Coralogix1.6%
DNIF HYPERCLOUD1.2%
Other97.2%
Log Management
 

Featured Reviews

Arka Sarkar - PeerSpot reviewer
Technical Solution Support Development Engineer at Ericsson Global
Centralized monitoring has transformed telecom troubleshooting and now reduces downtime proactively
Coralogix works well for our needs, but there are a few areas where improvements can be made. One area is querying performance for large-scale data sets. When we are dealing with very high log volumes, some complex queries take time to return results. Improving query speed and optimization would enhance the troubleshooting experience. Another point is the learning curve for advanced features. While basic usage is straightforward, advanced querying and dashboard configurations can take time for new users we are onboarding. We have faced this situation in our organization's domain frequently. More simplified UI options or guided templates would help new team members onboard faster. Additionally, dashboard customization flexibility needs improvement. Although dashboards are useful, having more flexibility in customization would make them even more powerful. An important point is cost optimization. Since log volume is high in our environment, better visibility and control over cost optimization would be beneficial. These are minor improvements overall. Coralogix already provides strong capabilities for centralized logging and monitoring, but enhancing these areas would make it even more efficient for large-scale environments in our telecom servers. Improvements could include query performance, alert noise reduction, and ease of use for advanced features, especially for large-scale environments like ours.
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

"In my opinion, the best feature of Coralogix is that it's convenient to look at errors."
"It's been absolutely brilliant, I would say."
"I have worked on multiple logging systems, and I would say Coralogix was the best among those."
"The solution offers very good convenience filtering."
"Support is great; they are helpful and responsive, and they are the greatest support team that I ever worked with, especially in comparison with AWS support’s premium tier where Coralogix is a few times better than even AWS support."
"The log monitoring is good, and the dashboards that we create are beneficial."
"Numerous data monitoring tools are available, but Coralogix somehow fine-tunes our policies and effectively supports our teams."
"With Coralogix, we have saved money and time."
"The solution is quite stable and offers good performance, it also works on a virtual machine and we haven't found any issues with it so far, it's been reliable."
"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 beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."
"The benefit of DNIF was that the solution was able to detect any anomalies and identify and prevent any possible security threats or attacks."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"It was one of the first SIEM tools I saw that had that particular MITRE table."
"The response time on queries is super-fast."
 

Cons

"Coralogix should have some AI capabilities to auto-detect anomalies and provide suggestions. The increasing volume of data and the resulting bandwidth charges are concerns."
"The user interface could be more intuitive and explanatory."
"The user interface is not intuitive, especially when first onboarding, and improvements could be made here."
"The features we were missing in the past were related to the way we see our metrics and aggregate our data."
"The customizable dashboards haven't really helped with my company's efficiency at all, and I think there's room for improvement."
"In terms of documentation, I think there can be more user-friendly documentation that stresses more on day-to-day issues."
"I think Coralogix can be improved by setting up some AI type of tool inside it which can help new users."
"As a relatively new product, there are some rough edges yet and your mileage may vary."
"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."
"There are currently some issues with machine learning plug-ins."
"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."
"The solution should be able to connect to endpoints, such as desktops and laptops."
"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."
"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."
 

Pricing and Cost Advice

"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 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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
10%
Outsourcing Company
9%
Computer Software Company
7%
Construction Company
16%
Outsourcing Company
10%
Comms Service Provider
9%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
 

Questions from the Community

What is your experience regarding pricing and costs for Coralogix?
My experience with Coralogix pricing and licensing has been generally positive, especially considering the value it provides in terms of monitoring and troubleshooting. It follows a usage-based pri...
What needs improvement with Coralogix?
Coralogix works well for our needs, but there are a few areas where improvements can be made. One area is querying performance for large-scale data sets. When we are dealing with very high log volu...
What is your primary use case for Coralogix?
In my organization, particularly in Ericsson's telecom BSS domain, the primary use case of Coralogix is centralized log management and real-time monitoring of telecom applications, such as the BSS ...
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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: June 2026.
908,800 professionals have used our research since 2012.