DNIF HYPERCLOUD vs Datadog comparison

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Datadog Logo
24,794 views|14,897 comparisons
95% willing to recommend
NETMONASTERY Logo
777 views|466 comparisons
85% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Datadog and DNIF HYPERCLOUD 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. Datadog Report (Updated: April 2024).
768,415 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 service catalog helped improve our organization by giving a good view of the flow for our microservices applications.""It has a high-level insight into the infrastructure model of the application and provides important detailed data on the host and metrics, which is the main concern of our customers.""APM is great and has provided low-effort out-of-the-box observability for various services.""We really like the charts and visualization.""The many dozens of integrations that the solution brings out of the box are excellent.""The monitoring functionality, in general, and tagging infrastructure are great.""It is easy to implement and scale applications with standardized visibility, monitoring and alerting""The solution is sufficiently stable."

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"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 dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies.""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.""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."

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Cons
"The product needs a better Datadog agent installation.""It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular.""Datadog is so feature-rich that it is often hard to onboard new folks and tough to decide where to invest time.""I sometimes log in and see items changed, either in the UI or a feature enabled. To see it for the first time without proper communication can sometimes come as a shock.""Datadog could always lower the price!""It can be overwhelming for new people as it has a lot of features.""Datadog could make their use cases more visible either through their docs or tutorial videos.""I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."

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"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 EBA could be improved.""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.""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."

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Pricing and Cost Advice
  • "​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
  • "It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
  • "Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
  • "At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
  • "The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
  • "It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
  • "The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
  • "It didn't scale well from the cost perspective. We had a custom package deal."
  • More Datadog 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 →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good core… more »
    Top Answer:Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network… more »
    Top Answer:The dashboard is helpful, and it creates visualizations to let staff review event data and identify patterns and anomalies.
    Top Answer:The EBA could be improved. The graphs and kill chain are not operational most of the time. Some dashboards are not showing data that is important to have for management review or meetings. The… more »
    Top Answer:In our project, we are mostly using authentication activities, real-time notification & alerting, log correlation & threat intelligence solutions. The DNIF tool is very authentic and capable of… more »
    Ranking
    2nd
    out of 95 in Log Management
    Views
    24,794
    Comparisons
    14,897
    Reviews
    94
    Average Words per Review
    433
    Rating
    8.6
    24th
    out of 95 in Log Management
    Views
    777
    Comparisons
    466
    Reviews
    5
    Average Words per Review
    774
    Rating
    7.8
    Comparisons
    Dynatrace logo
    Compared 21% of the time.
    Azure Monitor logo
    Compared 14% of the time.
    New Relic logo
    Compared 10% of the time.
    AWS X-Ray logo
    Compared 4% of the time.
    AppDynamics logo
    Compared 4% of the time.
    Learn More
    Overview

    Datadog is a cloud monitoring solution that is designed to assist administrators, IT teams, and other members of an organization who are charged with keeping a close eye on their networks. Administrators can use Datadog to set real-time alerts and schedule automated report generation. They can deal with issues as they arise and keep up to date with the overall health of their network while still being able to focus on other tasks. Users can also track the historical performance of their networks and ensure that they operate at the highest possible level.

    Datadog Benefits

    Some of the ways that organizations can benefit by deploying Datadog include:

    • Gain an integrated view of the services and programs that IT teams are employing across their networks. Users can view and monitor all of the disparate programs that they have running across their networks with this one solution. They can track these programs across the entirety of the data’s life cycle.
    • Analyze and utilize massive amounts of data in real time. Datadog’s dashboards gather data in real time. Administrators can utilize their network’s data the minute that it becomes relevant to them. Decisions can be made based on the most current information available.
    • Keep your cloud network secured against digital threats. Datadog enables users to create alerts that will notify the minute that threats arise. IT teams and administrators can rapidly address any issue that comes up and prevent any existing problem from growing worse.
    • Easily get it up and running. Users can set up Datadog, configure it, and employ API integrations to connect it to external solutions with ease.

    Datadog Features

    • Customizable and prefabricated monitoring dashboards. Administrators are supplied with two different types of dashboards that they can choose from when they are setting up Datadog. They can customize the dashboards to fit any specialized monitoring need. Additionally, users can choose to use prefabricated dashboards that come with the solution.
    • Disaster recovery feature. Datadog has a built-in feature that enables organizations to continue functioning if some disaster strikes their network. If the network suffers damage, Datadog can restore lost data and infrastructure. Should a digital threat do damage to the network, Datadog ensures that the damage is not irreparable.
    • Vulnerability scanning tool. Users can keep ahead of threats to their networks by employing Datadog’s vulnerability scanning feature. This tool scans the entirety of a user’s network and warns them if a vulnerability is detected. Users can then move to patch these holes in their security before the threat to their network can escalate.

    Reviews from Real Users

    Datadog is a solution that stands out when compared to many of its competitors. It can offer organizations many advantages. Two major advantages are the dashboards that users can create and the monitoring capability that it gives system administrators.

    A senior manager in charge of site reliability engineering at Extra Space Storage writes, “The dashboards we created are core indicators of the health of our system, and it is one of the most reliable sources we have turned to, especially as we have seen APM metrics impacted several times lately. We can usually rely on logs to tell us what the apps are doing.”

    Housecall Pro’s senior director of DevOps writes, “We value the monitoring capability since it allows us to be pushed alerts, rather than having to observe graphs continually.

    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.

    Sample Customers
    Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
    Mahindra & Mahindra, Tata Consultancy Services (TCS), ICICI Bank, Yes Bank, Tata Motors, RBL Bank
    Top Industries
    REVIEWERS
    Financial Services Firm22%
    Computer Software Company14%
    Comms Service Provider11%
    Pharma/Biotech Company5%
    VISITORS READING REVIEWS
    Educational Organization31%
    Computer Software Company12%
    Financial Services Firm10%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm15%
    Real Estate/Law Firm11%
    Construction Company10%
    Company Size
    REVIEWERS
    Small Business37%
    Midsize Enterprise19%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise38%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business29%
    Midsize Enterprise15%
    Large Enterprise56%
    Buyer's Guide
    DNIF HYPERCLOUD vs. Datadog
    April 2024
    Find out what your peers are saying about DNIF HYPERCLOUD vs. Datadog and other solutions. Updated: April 2024.
    768,415 professionals have used our research since 2012.

    Datadog is ranked 2nd in Log Management with 137 reviews while DNIF HYPERCLOUD is ranked 24th in Log Management with 7 reviews. Datadog is rated 8.6, while DNIF HYPERCLOUD is rated 7.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of DNIF HYPERCLOUD writes "Development from open sources is very valuable but a huge infrastructure is required". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas DNIF HYPERCLOUD is most compared with IBM Security QRadar, Splunk Enterprise Security, Microsoft Sentinel and Wazuh. See our DNIF HYPERCLOUD vs. Datadog report.

    See our list of best Log Management 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.