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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    H2O.ai

    Score6.4 out of 10
    N/AAn open-source end-to-end GenAI platform for air-gapped, on-premises or cloud VPC deployments. Users can Query and summarize documents or just chat with local private GPT LLMs using h2oGPT, an Apache V2 open-source project. And the commercially available Enterprise h2oGPTe provides information retrieval on internal data, privately hosts LLMs, and secures data.N/A

    Wireshark

    Score8.9 out of 10
    N/AWireshark is a free and open source network troubleshooting tool.

    $0

    Pricing
    H2O.aiWireshark
    Editions & Modules
    No answers on this topic
    Wireshark
    Free
    Offerings
    Pricing Offerings
    H2O.aiWireshark
    Free Trial
    NoNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    H2O.aiWireshark
    Considered Both Products
    H2O.ai
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    24 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    24 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    24 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    16 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    22 Answers
    Best Alternatives
    H2O.aiWireshark
    Small Businesses
    Saturn Cloud
    Score7.8 out of 10
    No answers on this topic
    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
    No answers on this topic
    Enterprises
    DataRobot
    Score8.2 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    H2O.aiWireshark
    Likelihood to Recommend
    8.1
    (3 ratings)
    9.6
    (32 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (1 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (3 ratings)
    Support Rating
    9.0
    (1 ratings)
    10.0
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    H2O.aiWireshark
    Likelihood to Recommend
    H2O.ai
    Most suited if in little time you wanted to build and train a model. Then, H2O makes life very simple. It has support with R, Python and Java, so no programming dependency is required to use it. It's very simple to use. If you want to modify or tweak your ML algorithm then H2O is not suitable. You can't develop a model from scratch.
    Incentivized
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    Open Source
    I don't know of any other tool that works as well as Wireshark for packet capture an inspection. It's extremely easy to get up and running, and even with little to no knowledge of how to use the tool, you can be looking at all the traffic coming off a network interface.
    Incentivized
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    Pros
    H2O.ai
    • Excellent analytical and prediction tool
    • In the beginning, usage of H20 Flow in Web UI enables quick development and sharing of the analytical model
    • Readily available algorithms, easy to use in your analytical projects
    • Faster than Python scikit learn (in machine learning supervised learning area)
    • It can be accessed (run) from Python, not only JAVA etc.
    • Well documented and suitable for fast training or self studying
    • In the beginning, one can use the clickable Flow interface (WEB UI) and later move to a Python console. There is then no need to click in H20 Flow
    • It can be used as open source
    Incentivized
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    Open Source
    • Light-weight software - Does not require high end specifications; also runs smoothly on Legacy systems
    • Filter function - Lets you filter you packets from thousands to tens so as to find your target much easily
    • Simultaneous capturing on all the network adapters - You can capture packets from all the Network Interface Cards (NIC's) at once.
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    Cons
    H2O.ai
    • Better documentation
    • Improve the Visual presentations including charting etc
    Incentivized
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    Open Source
    • A more user-friendly interface would be nice, but then again it is not really designed for those who are not quite comfortable with this type of software.
    • Changes to functionality on updates - this can sometimes happen unexpectedly and can be an annoyance.
    • More powerful data processing would be welcomed
    Incentivized
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    Usability
    H2O.ai
    No answers on this topic
    Open Source
    It's very simple and easy to use, although individuals not used to managing and administering networks would take some time to get familiar with it. Once they have mastered use of the application, it's easy to stay knowledgeable about it, iteration after iteration. It is well supported online through an open-source community network of professionals who are helpful in imparting knowledge and in providing assistance.
    Incentivized
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    Support Rating
    H2O.ai
    The overall experience I have with H2O is really awesome, even with its cost effectiveness.
    Incentivized
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    Open Source
    I don't believe Wireshark has "true" support as the software is open source. However, there is an active & friendly community around Wireshark that are more than happy to help answer questions. From a comprehensive Wiki and FAQ section on the site to the Ask a Question forum and bug tracker section, there's plenty of support options to make sure your questions and issues are addressed.
    Incentivized
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    Implementation Rating
    H2O.ai
    No answers on this topic
    Open Source
    Simple and easy setup.
    Incentivized
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    Alternatives Considered
    H2O.ai
    Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O.
    Incentivized
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    Open Source
    Wireshark is a free tool that came highly recommended by one of our former network security consultants. Using the tool he was able to resolve all of our higher tier network tickets, so we observed first hand why we needed to add Wireshark into our toolset. We received in-depth instruction and training scenarios that demonstrated the effectiveness and power of the product, so we didn't spend any time reviewing competing products.
    Incentivized
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    Return on Investment
    H2O.ai
    • Positive impact: saving in infrastructure expenses - compared to other bulky tools this costs a fraction
    • Positive impact: ability to get quick fixes from H2O when problems arise - compared to waiting for several months/years for new releases from other vendors
    • Positive impact: Access to H2O core team and able to get features that are needed for our business quickly added to the core H2O product
    Incentivized
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    Open Source
    • Identifying bugs in the network has never been smooth and near-perfect.
    • Wireshark has made sure our equipment and software is working properly via analyzing network data.
    • Analysis of IP packets and Sip call flaws has saved us a lot of time and confident result.
    Incentivized
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    ScreenShots