DNIF HYPERCLOUD vs Dynatrace comparison

Read 358 Dynatrace reviews

23,420 Views
7,494 Comparison Views

95% willing to recommend

DNIF HYPERCLOUD

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Oct 9, 2024

Dynatrace and DNIF HYPERCLOUD are top contenders in digital performance management and security analytics. Despite Dynatrace's superior customer service, DNIF HYPERCLOUD's features attract more users.

Features: Dynatrace provides comprehensive monitoring, intelligent alerts, and AI-driven insights. DNIF HYPERCLOUD offers robust real-time threat hunting, advanced anomaly detection, and flexible security analytics. Users find DNIF HYPERCLOUD's features more adaptable to their needs.

Room for Improvement: Dynatrace requires better integration flexibility, enhanced customization options, and improved reporting capabilities. DNIF HYPERCLOUD faces challenges with scalability, initial setup complexity, and UI enhancements. Each solution has distinct areas needing refinement.

Ease of Deployment and Customer Service: Dynatrace delivers a user-friendly deployment model and exceptional customer support, boosting satisfaction. DNIF HYPERCLOUD deployment poses challenges but has responsive support once operational. The deployment edge of Dynatrace is balanced by DNIF HYPERCLOUD's support.

Pricing and ROI: Dynatrace has high setup costs, with ROI aligning with industry standards. DNIF HYPERCLOUD offers competitive initial pricing, with users noting favorable ROI and long-term benefits. DNIF HYPERCLOUD's pricing may appeal to budget-sensitive buyers.

To learn more, read our detailed DNIF HYPERCLOUD vs. Dynatrace Report (Updated: December 2025).

DNIF HYPERCLOUD vs. Dynatrace

December 2025

Download the complete report

Helped 881,114 peers since 2012

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

52nd

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (52nd), User Entity Behavior Analytics (UEBA) (22nd), Security Orchestration Automation and Response (SOAR) (28th)

Dynatrace

Ranking in Log Management

6th

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

358

Ranking in other categories

Application Performance Monitoring (APM) and Observability (2nd), Mobile APM (2nd), Container Monitoring (1st), AIOps (2nd), AI Observability (3rd)

Mindshare comparison

As of January 2026, in the Log Management category, the mindshare of DNIF HYPERCLOUD is 0.6%, up from 0.2% compared to the previous year. The mindshare of Dynatrace is 4.0%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Market Share Distribution
Product	Market Share (%)
Dynatrace	4.0%
DNIF HYPERCLOUD	0.6%
Other	95.4%

Log Management

Featured Reviews

Kishore Tiwari

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.

Read full review

Manish Indupuri

senior DevOps engineer at a tech services company with 10,001+ employees

AI-driven insights have reduced downtime and improved cross-team collaboration

We encountered some challenges while using Dynatrace. Although the initial setup was smooth, fine-tuning alert thresholds and custom metrics took some time. Another challenge was that Dynatrace charges based on host units, so we had to carefully plan our agent deployments. The licensing model is expensive. Additionally, the complexity of setup is an issue. While OneAgent and auto-discover services are powerful, the setup is more complex compared to other tools such as Prometheus and Grafana. These integrations are simple and basic, but Dynatrace setup requires more complexity based on the environment. For new users wanting to use Dynatrace, it is difficult. However, the AI-related solutions and metrics took us to the next level for identifying and fixing things. Dynatrace requires an agent for operation. OneAgent is powerful, but it is also resource-heavy. On lightweight nodes or older systems, the agent can slightly impact performance. If Dynatrace could implement a lightweight agent behavior, we could make things faster. Additionally, if Dynatrace could add a long-term retention policy so that we could store more data and find fine-grained details, that would help us. While Dynatrace managed edition supports on-premises deployment, the SaaS version depends on cloud connectivity. For highly regulated or air-gapped environments, setup and updates can be challenging. Although the initial setup is smooth, if someone wants to fine-tune it and fully understand the tool end-to-end, it could be tricky.

Read full review

Quotes from Members

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

Pros

"The most valuable feature of the solution is the number of EPS it can handle."

"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."

"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 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 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."

"The response time on queries is super-fast."

More DNIF HYPERCLOUD pros

"Helps us to see the troubleshooting points or what is hiccuping. This is where we go. We reboot, fix it, or do whatever it takes for it to be taken care of."

"24/7, all transactions: The fact that every transaction is captured gives us the possibility of acting on every exception. But it also shows us what happens when everything works well, so we can compare it with the moment something goes wrong."

"Helps us in understanding what elements on the page contribute to load time and the primary areas to focus on for improvement."

"Improves the ability to isolate issues and determine root cause with the same tool."

"One of the features that sets this product apart from its competitors is that it generates a solution."

"The solution is amazing, it does well when you need to use it."

"It reduces our efforts to identify services failing in production."

"We also got know many internal code bugs which could have caused memory leaks or other issues which we were not able to catch during that development phase."

More Dynatrace pros

Cons

"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 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 EBA could be improved."

"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."

"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 solution's command line should be simpler so that routine commands can be used."

"Dependency on the DNIF support team was frustrating."

"I would like to know if classes and methods selected in "Method Sensor Rules" were changed in the applications, and not depend on the developers to warn us."

"It would be nice to have a simplified monitoring feature for non-Java applications."

"Dynatrace SaaS still lacks configuration API or command line which would allow moving configuration from one tenant to the other."

"This solution could be improved with better compatibility with legacy applications."

"There's no download action for the reports, so if they could add something like that, it would add value for us. We cannot save data for more than seven to 10 days, so it would be better to add a feature for downloading. At least we could store the data and then we could compare for ourselves, where we are starting and where we are and where we are heading. I would have those metrics."

"I think Dynatrace can be improved in dashboard creation, as this is the face of a product."

"Dynatrace could be improved by having a fully functional applications and infrastructure monitoring feature. Their existing stack, which is SNMP-based, does not have full infrastructure monitoring, whereas if we compare it with other solutions like New Relic or Datadog, they have moved into infrastructure monitoring. The second improvement I would suggest is in regards to the cost. So far, Dynatrace is the most expensive APM that we sell, even compared to New Relic. I think they can improve a little bit in terms of the license pricing."

"It needs improvement with proprietary protocols for the DC RUM part."

More Dynatrace cons

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."

"There is a license cost, which is obviously more expensive than an open-source solution, but for the return on investment from what you get from it, it's a great investment. Of course, it could always be cheaper."

"Dynatrace is very good and it's provided a lot of information, it plays a positive role in making your application up to date in the market. If you want to monitor some applications only, it would be cheaper if you did cloud monitoring, but the price benefit depends on the use case."

"Dynatrace is bit costly and not easily affordable."

"The product is pricey, but it is feature-rich, which is why we probably haven't looked away from it."

"Its licensing is complicated or not transparent."

"Pricing is still too expensive."

"If there are no corporate requirements to run Dynatrace Managed (operating it yourself), I would definitely go for the size option. For small and medium-sized companies, the size option is probably the cheapest one. You don't need to look into operating it. You don't need to run hardware. It is pay as you go."

"The pricing is a bit on the higher end."

More Dynatrace pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Log Management solutions are best for your needs.

See recommendations

881,114 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Transportation Company

10%

Manufacturing Company

Financial Services Firm

Outsourcing Company

Financial Services Firm

22%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	3

By reviewers
Company Size	Count
Small Business	78
Midsize Enterprise	50
Large Enterprise	298

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...

Any advice about APM solutions?

The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not f...

What cloud monitoring software did you choose and why?

While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire stack. Both production and Dev/Test. I find it to be quite superior to anything els...

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...

Splunk Enterprise Security vs DNIF HYPERCLOUD

Comparisons

Compared 16% of the time

Elastic Security vs DNIF HYPERCLOUD

Compared 10% of the time

Seceon Open Threat Management Platform vs DNIF HYPERCLOUD

Compared 8% of the time

IBM Security QRadar vs DNIF HYPERCLOUD

Compared 8% of the time

Fortinet FortiSIEM vs DNIF HYPERCLOUD

Compared 6% of the time

More DNIF HYPERCLOUD Competitors

Datadog vs Dynatrace

Compared 10% of the time

New Relic vs Dynatrace

Compared 6% of the time

Splunk AppDynamics vs Dynatrace

Compared 5% of the time

Splunk Enterprise Security vs Dynatrace

Compared 4% of the time

Azure Monitor vs Dynatrace

Compared 3% of the time

More Dynatrace Competitors

Product Reports

Download DNIF HYPERCLOUD product report

DNIF HYPERCLOUD

January 2026

Download Dynatrace product report

January 2026

Overview

DNIF HYPERCLOUD is a cloud native platform that brings the functionality of SIEM, UEBA and SOAR into a single continuous workflow to solve cybersecurity challenges at scale. DNIF HYPERCLOUD is the flagship SaaS platform from NETMONASTERY that delivers key detection functionality using big data analytics and machine learning. NETMONASTERY aims to deliver a platform that helps customers in ingesting machine data and automatically identify anomalies in these data streams using machine learning and outlier detection algorithms. The objective is to make it easy for untrained engineers and analysts to use the platform and extract benefit reliably and efficiently.

NETMONASTERY

Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.

Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:

Smartscape - visualization mechanism that maps the totality of everything working in your environment and detects any casual dependencies between your applications, processes, websites, services, hosts, cloud infrastructure, and networks.
OneAgent - a technology that analyzes, gathers ,and unifies all business performance metrics throughout every layer of your technology stack.
PurePath Technology - code-level context and timings are captured from the mainframe to the cloud for all end-to-end transactions.

What does Dynatrace offer?

Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:

Cloud Automation: With AI engine Davis®, users can see the exact reason for problems and facilitate quick auto-remediation and intelligent cloud orchestration.
Application Security: With automated application vulnerability management, users can deliver applications faster and more securely.
Infrastructure Monitoring: Convenient broad visibility across your environments is provided with streamlined, automated infrastructure monitoring.
Digital Experience Monitoring (DEM): Optimize your applications, provide better support, and improve user experience with a combination of Real User Monitoring (RUM), Session Replay, and synthetic monitoring throughout your environment.
Applications and Microservices: For complex cloud environments, Dynatrace can automatically provide visibility and root-cause answers. It can also monitor microservices.
Digital Business Analytics: Get AI-powered, real-time answers to analytical business queries with KPIs and metrics that are already flowing through applications.

Reviews from Real Users

Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.

Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."

A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."

Sample Customers

Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank

Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express