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DNIF HYPERCLOUD vs Google Cloud's operations suite (formerly Stackdriver) 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
46th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
8
Ranking in other categories
Security Information and Event Management (SIEM) (46th), User Entity Behavior Analytics (UEBA) (19th), Security Orchestration Automation and Response (SOAR) (28th)
Google Cloud's operations s...
Ranking in Log Management
24th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
10
Ranking in other categories
Application Performance Monitoring (APM) and Observability (25th), Cloud Monitoring Software (15th)
 

Mindshare comparison

As of June 2026, in the Log Management category, the mindshare of DNIF HYPERCLOUD is 1.1%, up from 0.2% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 1.0%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Google Cloud's operations suite (formerly Stackdriver)1.0%
DNIF HYPERCLOUD1.1%
Other97.9%
Log Management
 

Featured Reviews

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.
Anand_Patel - PeerSpot reviewer
Senior Technical Architect at T-Systems International GmbH
Offers reliable Ops Agent and logging transport feature with easy third-party integrations
As part of our company, we implemented several changes in our log analytics pattern, including the storage and procurement process. Earlier, before implementing the solution, our company was able to procure only one year of data, but later, we came to the three-year mark. Around 15-20% reduction has been witnessed in the total analytic consumption of our company. The aforementioned result was possible because the solution allowed the creation of a dashboard where factors like storage costs, proportion of logs, and logs presence in a storage bucket or Big Query can all be checked. Earlier all logs were stored in a raw storage, but currently our company is able to move logs in table bucket that contributes towards cost savings. It has default integration for all gcp services. recently managed Prometheus support gives more flexibility to organizations to remain connected with their current Prometheus setup. We leveraged integrated FinOps Hub for recommendations for our workloads and server configurations, helpd us lot in order to get maximum TCO.

Quotes from Members

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

Pros

"The benefit of DNIF was that the solution was able to detect any anomalies and identify and prevent any possible security threats or attacks."
"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."
"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."
"The most valuable feature of the solution is the number of EPS it can handle."
"Has a great search capability."
"Great for scaling productivity for log monitoring purposes."
"DNIF is much faster, much more responsive, and far superior when compared to competitive tools."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"I like the monitoring feature."
"It's easy to use."
"Offers a valuable logging transport feature"
"It has reduced the amount of time that we would take for troubleshooting."
"Provides visibility into the performance uptime."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"The features that I have found most valuable are its graphs - if I need any statistics, in Kubernetes or Kong level or VPN level, I can quickly get the reports."
 

Cons

"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."
"DNIF HYPERCLOUD is not a stable product compared to other tools like IBM QRadar."
"The EBA could be improved."
"We have some issues with machine learning plug-ins and I believe they're working on a solution for that."
"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."
"The solution should be able to connect to endpoints, such as desktops and laptops."
"Google Stackdriver is a stable product, but there is some lagging we cannot stop."
"It could be more stable."
"Operations documentation could be a bit better. It took us some time to get up and running with it."
"The logging functionality could be better."
"Lacking sufficient operations documentation."
"It could be even more automated."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."
"This solution could be improved if it offered the ability to analyze charts, such as a solution like Kibana."
 

Pricing and Cost Advice

"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."
"The cost of using Stackdriver depends on usage."
"The cost could be lower."
"We have a basic standard license without any additional costs."
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Top Industries

By visitors reading reviews
Construction Company
16%
Comms Service Provider
8%
Financial Services Firm
7%
Outsourcing Company
7%
Financial Services Firm
12%
Construction Company
10%
Comms Service Provider
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise9
 

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 is your experience regarding pricing and costs for Google Stackdriver?
As Ops Suite, is a google product which effectively comes at zero setup cost, in order to manage your on-premises logs on onsite, it involves negligible cost for using ops agent and it also include...
 

Also Known As

No data available
Google Stackdriver, Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
 

Overview

 

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Uber, Batterii, Q42, Dovetail Games
Find out what your peers are saying about DNIF HYPERCLOUD vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: June 2026.
900,644 professionals have used our research since 2012.