DNIF HYPERCLOUD vs Elastic Security comparison

Cancel
You must select at least 2 products to compare!
Microsoft Logo
31,886 views|17,713 comparisons
92% willing to recommend
NETMONASTERY Logo
768 views|461 comparisons
85% willing to recommend
Elastic Logo
15,437 views|12,779 comparisons
86% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between DNIF HYPERCLOUD and Elastic Security based on real PeerSpot user reviews.

Find out in this report how the two Log Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed DNIF HYPERCLOUD vs. Elastic Security Report (Updated: April 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product can integrate with any device.""Microsoft Sentinel comes preloaded with templates for teaching and analytics rules.""Azure Application Gateway makes things a lot easier. You can create dashboards, alert rules, hunting and custom queries, and functions with it.""The log query feature has been the most valuable because it's very good. You can put your data on the cloud and run queues from Sentinel. It will do it all very fast. I love that I don't have to upload it to an Excel file and then manually look for a piece of information. Sentinel is much faster and is good for big databases.""The AI and ML of Azure Sentinel are valuable. We can use machine learning models at the tenant level and within Office 365 and Microsoft stack. We don't need to depend upon any other connectors. It automatically provisions the native Microsoft products.""We’ve got process improvement that's happened across multiple different fronts within the organization, within our IT organization based on this tool being in place.""Its inbuilt Kusto Query Language is a valuable feature. It provides the flexibility needed to leverage advanced data analytics rules and policies and enables us to easily navigate all our security events in a single view. It helps any user easily understand the data or any security lags in their data and applications.""It's pretty powerful and its performance is pretty good."

More Microsoft Sentinel Pros →

"Has a great search capability.""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.""The response time on queries is super-fast.""Great for scaling productivity for log monitoring purposes.""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 beauty of the solution is that you can develop infrastructure for a data lake using open sources that are separate from the licenses."

More DNIF HYPERCLOUD Pros →

"ELK documentation is very good, so never needed to contact technical support.""The solution has a good community surrounding it for lots of helpful documentation for troubleshooting purposes.""Stability-wise, I rate the solution a ten out of ten.""The cost is reasonable. It's not overly pricey.""The feature that we have found the most valuable is scalability.""ELK is open-source, and it will give you the framework you need to build everything from scratch.""The most valuable feature is the ability to collect authentication information from service providers.""ELK Logstash is easy and fast, at least for the initial setup with the out of box uses."

More Elastic Security Pros →

Cons
"Sentinel should be improved with more connectors. At the moment, it only covers a few vendors. If I remember correctly, only 100 products are supported natively in Sentinel, although you can connect them with syslog. But Microsoft should increase the number of native connectors to get logs into Sentinel.""Sentinel still has some anomalies. For example, sometimes when we write a query for log analysis with KQL, it doesn't give us the data in a proper way... Also, the fields or columns could be improved. Sometimes, it is not giving the desired results and there is a blank field.""In terms of features I would like to see in future releases, I'm interested in a few more use cases around automation. I do believe a lot of automation is available, and more is in progress, but that would be my area of interest.""The performance could be improved. If I create 15 to 20 lines for a single-use case in KQL, sometimes it takes more time to execute. If I create use cases within a certain timeline, the result will show in .01 seconds. A complex query takes more time to get results.""It has been a challenge with Azure Sentinel to onboard the Syslog server from FortiGate. Azure Sentinel can work better on that shift between the Syslog server and a firewall.""We have been working with multiple customers, and every time we onboard a customer, we are missing an essential feature that surprisingly doesn't exist in Sentinel. We searched the forums and knowledge bases but couldn't find a solution. When you onboard new customers, you need to enable the data connectors. That part is easy, but you must create rules from scratch for every associated connector. You click "next," "next," "next," and it requires five clicks for each analytical rule. Imagine we have a customer with 150 rules.""The troubleshooting has room for improvement.""Given that I am in the small business space, I wish they would make it easier to operate Sentinel without being a Sentinel expert. Examples of things that could be easier are creating alerts and automations from scratch and designing workbooks."

More Microsoft Sentinel 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.""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.""There are currently some issues with machine learning plug-ins.""The EBA could be improved.""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."

More DNIF HYPERCLOUD Cons →

"The problem with ELK is it's difficult to administer. When you have a problem, it can be very, very difficult to rebuild indexes.""In terms of improvement, there could be more automation in responding to and evaluating detections.""The interface could be more user friendly because it is sometimes hard to deal with.""Sometimes, the solution isn't the easiest to use.""Its documentation should be a bit better. I have to spend at least a couple of hours to find the solution for a simple thing. When we buy Elastic, training is not included for free with Elastic. We have to pay extra for the training. They should include training in the price.""If the documentation were improved and made more clear for beginners, or even professionals, then we would be more attracted to this solution.""There is room for improvement in the Kibana dashboard and in the asset management for the program.""We'd like to see some more artificial intelligence capabilities."

More Elastic Security Cons →

Pricing and Cost Advice
  • "It comes with a Microsoft subscription which the customer has, so they don't have to invest somewhere else."
  • "It is a consumption-based license model. bands at 100, 200, 400 GB per day etc. Azure Sentinel Pricing | Microsoft Azure"
  • "Good monthly operational cost model for the detection and response outcomes delivered, M365 logs don't count toward the limits which is a good benefit."
  • "I have had mixed feedback. At one point, I heard a client say that it sometimes seems more expensive. Most of the clients are on Office 365 or M365, and they are forced to take Azure SIEM because of the integration."
  • "It is kind of like a sliding scale. There are different tiers of pricing that go from $100 per day up to $3,500 per day. So, it just kind of depends on how much data is being stored. There can be additional costs to the standard license other than the additional data. It just kind of depends on what other services you're spinning up in Azure, or if you're using something like Azure log analytics."
  • "I am just paying for the log space with Azure Sentinel. It costs us about $2,000 a month. Most of the logs are free. We are only paying money for Azure Firewall logs because email logs or Azure AD logs are free to use for us."
  • "Sentinel is a bit expensive. If you can figure a way of configuring it to meet your needs, then you can find a way around the cost."
  • "Azure Sentinel is very costly, or at least it appears to be very costly. The costs vary based on your ingestion and your retention charges."
  • More Microsoft Sentinel Pricing and Cost Advice →

  • "The pricing is based on the log size."
  • "The solution requires a huge infrastructure and that is costly."
  • More DNIF HYPERCLOUD Pricing and Cost Advice →

  • "We use the open-source version, so there is no charge for this solution."
  • "We are using the free, open-source version of this solution."
  • "Elastic Stack is an open-source tool. You don't have to pay anything for the components."
  • "There is no charge for using the open-source version."
  • "This is an open-source product, so there are no costs."
  • "It's a monthly cost with Elastic SIEM, but I am not sure of the exact cost."
  • "It is easy to deploy, easy to use, and you get everything you need to become operational with it, and have nothing further to pay unless you want the OLED plugin."
  • "Compared to other products such as Dynatrace, this is one of the cheaper options."
  • More Elastic Security Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Log Management solutions are best for your needs.
    771,157 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Yes, Azure Sentinel is a SIEM on the Cloud. Multiple data sources can be uploaded and analyzed with Azure Sentinel and… more »
    Top Answer:It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for… more »
    Top Answer:We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is… more »
    Top Answer:The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and… more »
    Top Answer:The EBA could be improved. The graphs and kill chain are not operational most of the time. Some dashboards are not… more »
    Top Answer:In our project, we are mostly using authentication activities, real-time notification & alerting, log correlation &amp… more »
    Top Answer:With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times… more »
    Top Answer:It is an extremely stable solution. Stability-wise, I rate the solution a ten out of ten.
    Top Answer:The product offers an amazing pricing structure. Price-wise, the product is very competitive.
    Comparisons
    Also Known As
    Azure Sentinel
    Elastic SIEM, ELK Logstash
    Learn More
    Overview

    Microsoft Sentinel is a scalable, cloud-native, security information event management (SIEM) and security orchestration automated response (SOAR) solution that lets you see and stop threats before they cause harm. Microsoft Sentinel delivers intelligent security analytics and threat intelligence across the enterprise, providing a single solution for alert detection, threat visibility, proactive hunting, and threat response. Eliminate security infrastructure setup and maintenance, and elastically scale to meet your security needs—while reducing IT costs. With Microsoft Sentinel, you can:

    - Collect data at cloud scale—across all users, devices, applications, and infrastructure, both on-premises and in multiple clouds

    - Detect previously uncovered threats and minimize false positives using analytics and unparalleled threat intelligence from Microsoft

    - Investigate threats with AI and hunt suspicious activities at scale, tapping into decades of cybersecurity work at Microsoft

    - Respond to incidents rapidly with built-in orchestration and automation of common tasks

    To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.

    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.

    Elastic Security is a robust, open-source security solution designed to offer integrated threat prevention, detection, and response capabilities across an organization's entire digital estate. Part of the Elastic Stack (which includes Elasticsearch, Logstash, and Kibana), Elastic Security leverages the power of search, analytics, and data aggregation to provide real-time insight into threats and vulnerabilities. It is a comprehensive platform that supports a wide range of security needs, from endpoint protection to cloud and network security, making it a versatile choice for organizations looking to enhance their cybersecurity posture.


    Elastic Security combines the features of a security information and event management (SIEM) system with endpoint protection, allowing organizations to detect, investigate, and respond to threats in real time. This unified approach helps reduce complexity and improve the efficiency of security operations.

    Additional offerings and benefits:

    • The platform utilizes advanced analytics, machine learning algorithms, and anomaly detection to identify threats and suspicious activities.
    • It offers extensive integration options with other tools and platforms, facilitating a more cohesive and comprehensive security ecosystem.
    • With Kibana, users gain access to powerful visualization tools and dashboards that provide real-time insight into security data.

    Finally, Elastic Security benefits from a global community of users who contribute to its threat intelligence, helping to enhance its detection capabilities. This collaborative approach ensures that the solution remains on the cutting edge of cybersecurity, with up-to-date information on the latest threats and vulnerabilities.

    Sample Customers
    Microsoft Sentinel is trusted by companies of all sizes including ABM, ASOS, Uniper, First West Credit Union, Avanade, and more.
    Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
    Texas A&M, U.S. Air Force, NuScale Power, Martin's Point Health Care
    Top Industries
    REVIEWERS
    Financial Services Firm22%
    Computer Software Company11%
    Manufacturing Company8%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm10%
    Government9%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm16%
    Real Estate/Law Firm11%
    Construction Company10%
    REVIEWERS
    Financial Services Firm29%
    Computer Software Company25%
    Healthcare Company13%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm10%
    Government9%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise21%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise16%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise15%
    Large Enterprise56%
    REVIEWERS
    Small Business60%
    Midsize Enterprise18%
    Large Enterprise23%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise56%
    Buyer's Guide
    DNIF HYPERCLOUD vs. Elastic Security
    April 2024
    Find out what your peers are saying about DNIF HYPERCLOUD vs. Elastic Security and other solutions. Updated: April 2024.
    771,157 professionals have used our research since 2012.

    DNIF HYPERCLOUD is ranked 25th in Log Management with 7 reviews while Elastic Security is ranked 5th in Log Management with 59 reviews. DNIF HYPERCLOUD is rated 7.6, while Elastic Security is rated 7.6. The top reviewer of DNIF HYPERCLOUD writes "Development from open sources is very valuable but a huge infrastructure is required". On the other hand, the top reviewer of Elastic Security writes "A stable and scalable tool that provides visibility along with the consolidation of logs to its users". DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security, Wazuh and Rapid7 InsightOps, whereas Elastic Security is most compared with Wazuh, Splunk Enterprise Security, IBM Security QRadar, Microsoft Defender for Endpoint and CrowdStrike Falcon. See our DNIF HYPERCLOUD vs. Elastic Security report.

    See our list of best Log Management vendors, best Security Information and Event Management (SIEM) vendors, and best Security Orchestration Automation and Response (SOAR) vendors.

    We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.