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Amazon CloudWatch vs DNIF HYPERCLOUD 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

Amazon CloudWatch
Ranking in Log Management
16th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
47
Ranking in other categories
Application Performance Monitoring (APM) and Observability (13th), Cloud Monitoring Software (11th)
DNIF HYPERCLOUD
Ranking in Log Management
49th
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 October 2025, in the Log Management category, the mindshare of Amazon CloudWatch is 2.1%, up from 1.3% compared to the previous year. The mindshare of DNIF HYPERCLOUD is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Amazon CloudWatch2.1%
DNIF HYPERCLOUD0.3%
Other97.6%
Log Management
 

Featured Reviews

Rahul Kundu - PeerSpot reviewer
Proactively address issues with seamless monitoring while enhancing custom metrics functionality
We use CloudWatch for monitoring and logging. It helps us monitor our applications' performance, particularly in ensuring that every API hit returns a response within four seconds, which is our SLA. We also monitor invocation errors in Lambda and use CloudWatch alerts to notify us of any issues…
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

"Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks."
"The most valuable feature of Amazon CloudWatch is intrusion prevention."
"CloudWatch immediately hooks up and connects to the KPIs and all the metrics."
"The monitoring feature is valuable."
"The most valuable feature of Amazon CloudWatch is collecting the logs from Lambda."
"The most valuable feature of Amazon CloudWatch is reliability."
"Amazon CloudWatch's best feature stems from its ability to monitor app performance."
"We have found the pricing to be reasonable."
"Great for scaling productivity for log monitoring purposes."
"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."
"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 response time on queries is super-fast."
"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 most valuable feature of the solution is the number of EPS it can handle."
"The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies."
 

Cons

"The integration with third-party tools must be made easier."
"What would make Amazon CloudWatch better is if it includes more on-site checks, particularly status checks on the CPU, network input/output, etc. It would also be helpful if there's built-in swap space, disk, and memory monitoring in Amazon CloudWatch because, at the moment, my team has to configure it manually through a shell script."
"Adding conditional expressions would enhance its functionality."
"The solution's integration could be easier for laypersons."
"The configuration capabilities could be better."
"I found several areas for improvement in Amazon CloudWatch. First is that it's tough to track issues and find out where it's going wrong. The process takes longer. For example, if I get an exception error, I read the logs, search, go to AWS Cloud, then to the groups to find the keyword to determine what's wrong. Another area for improvement in Amazon CloudWatch is that it's slow in terms of log streaming. It requires an entire twenty-four hours for scanning, rather than just one hour. This issue can be solved with Elasticsearch streaming with Kibana, but it requires a lot of development effort and integration with Kibana or Splunk, and this also means I need a separate developer and software technical stack to do the indexing and streaming to Kibana. It's a manual effort that you need to do properly, so log streaming should be improved in Amazon CloudWatch. The AWS support person should also have a better understanding of the logs in Amazon CloudWatch. What I'd like added to the solution is a more advanced search function, particularly one that can tell you more information or special information. Right now, the search function is difficult to use because it only gives you limited data. For example, I got an error message saying that the policy wasn't created. I only know the amount the customer paid for the policy, the mobile number, and the customer name, but if I use those details, the information won't show up on the logs. I need to enter more details, so that's the type of fuzzy matching Amazon CloudWatch won't provide. If this type of search functionality is provided, it will be very helpful for businesses and companies that provide professional services to customers, like ours."
"The product’s documentation must be improved."
"CloudWatch doesn’t monitor disk throughput by default."
"The EBA could be improved."
"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."
"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'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."
"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

"Amazon CloudWatch is a cheap solution."
"We have monthly licensing costs. The licenses are probably in the vicinity of about $300 - $350/month."
"The product's cost is relatively inexpensive."
"It’s an open-source solution."
"The price of Amazon CloudWatch is reasonable for detailed basic monitoring."
"The pricing is average."
"The tool is not expensive."
"What's were using is the free service of Amazon CloudWatch, so they're not charging us. As for hidden fees, we're not aware of them because we're using what our clients provided us."
"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
17%
Computer Software Company
12%
Manufacturing Company
10%
University
4%
Transportation Company
10%
Media Company
9%
Manufacturing Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise9
Large Enterprise24
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise3
 

Questions from the Community

What is your experience regarding pricing and costs for Amazon CloudWatch?
Overall, the pricing of Amazon CloudWatch is very expensive.
What needs improvement with Amazon CloudWatch?
Apart from traceability of network resources, Amazon CloudWatch needs to be more interoperable with other tools because many companies are starting to use AI-based dashboards. When using third-part...
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

AirAsia, Airbnb, Aircel, APUS, Avazu, Casa & Video, Futbol Club Barcelona (FCBarcelona), National Taiwan University, redBus
Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
Find out what your peers are saying about Amazon CloudWatch vs. DNIF HYPERCLOUD and other solutions. Updated: September 2025.
869,760 professionals have used our research since 2012.