DNIF HYPERCLOUD vs Elastic Security comparison

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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: May 2024).
772,649 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 automation feature is valuable.""Sentinel is a Microsoft product, so they provide very robust use cases and analytic groups, which are very beneficial for the security team. I also like the ability to integrate data sources into the software for on-premise and cloud-based solutions.""The product can integrate with any device.""The best feature is that onboarding to the SIM solution is quite easy. If you are using cloud-based solutions, it's just a few clicks to migrate it.""The analytic rule is the most valuable feature.""The most valuable feature is the alert notifications, which are categorized by severity levels: informational, low, medium, and high.""It's easy to use. It's a very good product. It can easily ingest data from anywhere. It has an easily understandable language to perform actions.""It is easy to implement (turn on) - does need a skilled analyst to develop queries and playbooks."

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"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.""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.""Has a great search capability.""The response time on queries is super-fast.""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 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.""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."

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"ELK is open-source, and it will give you the framework you need to build everything from scratch.""The most valuable feature is the scalability. We are in Indonesia, more engineers understand Elastic Security here. So it is easier to scale and also develop. In features, the discovery to query all the logs is very important to us. It is very easy, especially with the query function and the feature to generate alerts and create tools. Sometimes we use the alert security dashboard to monitor our clients.""ELK Logstash is easy and fast, at least for the initial setup with the out of box uses.""It's very customizable, which is quite helpful.""The solution is quite stable. The performance has been good.""The feature that we have found the most valuable is scalability.""It can handle millions of loads at a time, and you can always use the filters to find exactly what you are looking for and detect errors in every log message you are searching for, basically.""I can look at events from more than one source across multiple different locations and find patterns or anomalies. The machine learning capabilities are helpful, and I can create rules for notifications to be more proactive rather than responding after something has gone wrong."

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Cons
"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 solution could improve the playbooks.""For certain vendors, some of the data that Microsoft Sentinel captures is redacted due to privacy reasons.""If you're looking to use canned queries, the interface could be a little more straightforward. It's not immediately intuitive regarding how you use it. You have to take a canned query and paste it into an operational box and then you hit a button... They could improve the ease of deploying these queries.""One key area that can be improved is by building a strong integration with our XDR platform.""If Azure Sentinel had the ability to ingest Azure services from different tenants into another tenant that was hosting Azure Sentinel, and not lose any metadata, that would be a huge benefit to a lot of companies.""We are invoiced according to the amount of data generated within each log.""They need to work with other security vendors. For example, we replaced our email gateway with Symantec, but we couldn't collect these logs with Azure Sentinel. Instead of collecting these logs with Azure Sentinel, we are collecting them on Qradar. We couldn't do it with Sentinel, which is a problem for us."

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"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.""There are currently some issues with machine learning plug-ins.""The solution's command line should be simpler so that routine commands can be used.""Dependency on the DNIF support team was frustrating.""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 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."

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"The solution does not have a UI and this is one of the reasons we are looking for another solution.""We'd like to see some more artificial intelligence capabilities.""There are connectors to gather logs for Windows PCs and Linux PCs, but if we have to get the logs from Syslog then we have to do it manually, and this should be automated.""In terms of improvement, there could be more automation in responding to and evaluating detections.""Upgrades currently released as stacks when it should be a plugin or an extension to save removal and reinstallation.""Better integration with third-party APMs would be really good.""This solution cannot do predictive maintenance, so we have to build our own modules for doing it.""Anything that supports high availability or ease of deployment in a highly available environment would help to improve this solution."

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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 →

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    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:Elastic provides the capability to index quickly due to the reverse indexes it offers. This data is crucial as it… more »
    Top Answer:Elastic Security is open-source. Unlike many older solutions where you must pay for data ingestion, Elastic allows you… more »
    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 Company17%
    Financial Services Firm16%
    Construction Company10%
    Real Estate/Law Firm10%
    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 Business59%
    Midsize Enterprise19%
    Large Enterprise22%
    VISITORS READING REVIEWS
    Small Business26%
    Midsize Enterprise18%
    Large Enterprise56%
    Buyer's Guide
    DNIF HYPERCLOUD vs. Elastic Security
    May 2024
    Find out what your peers are saying about DNIF HYPERCLOUD vs. Elastic Security and other solutions. Updated: May 2024.
    772,649 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 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.