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DNIF HYPERCLOUD vs Datadog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 2025

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

Datadog
Ranking in Log Management
3rd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
187
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), Cloud Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
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)
 

Mindshare comparison

As of June 2025, in the Log Management category, the mindshare of Datadog is 5.9%, down from 7.7% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.2%, down from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
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.

Quotes from Members

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

Pros

"We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"The web app has a real-time support chat window in which a support engineer is chatting with you within a minute."
"Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable."
"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."
"Log analytics give us a powerful mechanism for error tracking, research, and analysis."
"The solution is useful for monitoring logs."
"The most valuable aspect of the solution is the APM."
"Has a great search capability."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"The response time on queries is super-fast."
"The most valuable feature of the solution is the number of EPS it can handle."
"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 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."
 

Cons

"More pre-configured "Monitor Alerts" would be helpful."
"Another issue that I have is with the search syntax, it could be simpler and it feels like there are too many ways to do the same things."
"The error traceability is an area that can be improved."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"I would like testing for data in the future."
"It does not have the best interface."
"I find the setup cost to be too expensive. The setup cost for Datadog is more than $100. I am evaluating the usage of this solution, however, it is too expensive."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"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 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 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."
"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."
"The EBA could be improved."
"The solution's command line should be simpler so that routine commands can be used."
 

Pricing and Cost Advice

"The cost is high and this can be justified if the scale of the environment is big."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"They prefer monthly subscriptions."
"It has a module-based pricing model."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The price is better than some competing products."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"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."
"The pricing is based on the log size."
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Top Industries

By visitors reading reviews
Educational Organization
16%
Computer Software Company
13%
Financial Services Firm
13%
Manufacturing Company
7%
Computer Software Company
15%
Financial Services Firm
11%
Real Estate/Law Firm
9%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
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...
 

Comparisons

 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Find out what your peers are saying about DNIF HYPERCLOUD vs. Datadog and other solutions. Updated: June 2025.
859,438 professionals have used our research since 2012.