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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Eclipse

    Score8.3 out of 10
    N/AEclipse is a free and open source integrated development environment (IDE).N/A

    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
    Pricing
    EclipseH2O.ai
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    EclipseH2O.ai
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    EclipseH2O.ai
    Considered Both Products
    Open Source
    No answer on this topic
    H2O.ai
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    29 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    29 Answers
    No answers on this topic
    Happy with the feature set
    94%
    Happy with the feature set
    29 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    95%
    Lived up to sales and marketing promises
    21 Answers
    No answers on this topic
    Implementation went as expected
    96%
    Implementation went as expected
    24 Answers
    No answers on this topic
    Best Alternatives
    EclipseH2O.ai
    Small Businesses
    No answers on this topic
    Saturn Cloud
    Score7.8 out of 10
    Medium-sized Companies
    No answers on this topic
    DataRobot
    Score8.2 out of 10
    Enterprises
    No answers on this topic
    DataRobot
    Score8.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    EclipseH2O.ai
    Likelihood to Recommend
    9.9
    (74 ratings)
    8.1
    (3 ratings)
    Likelihood to Renew
    9.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    6.8
    (19 ratings)
    9.0
    (1 ratings)
    User Testimonials
    EclipseH2O.ai
    Likelihood to Recommend
    Open Source
    I think that if someone asked me for an IDE for Java programming, I would definitely recommend Eclipse as is one of the most complete solutions for this language out there. If the main programming language of that person is not Java, I don't think Eclipse would suit his needs[.]
    Incentivized
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    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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    Pros
    Open Source
    • Eclipse organizes imports well and does a good job presenting different programming languages.
    • Eclipse auto formats source code allowing customization and increased readability.
    • Eclipse reports errors automatically to users rather than logging it to the console.
    • Eclipse has coding shortcuts and auto-correction features allowing faster software development.
    Incentivized
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    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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    Cons
    Open Source
    • While the DB integration is broad (many connectors) it isn't particularly deep. So if you need to do serious DB work on (for example) SQL Server, it is sometimes necessary to go directly to the SQL Server Studio. But for general access and manipulation, it is ok.
    • The syntax formatting is sometimes painful to set up and doesn't always support things well. For example, it doesn't effectively support SCSS.
    • Using it for remote debugging in a VM works pretty well, but it is difficult to set up and there is no documentation I could find to really explain how to do it. When remote debugging, the editor does not necessarily integrate the remote context. So, for example, things like Pylint don't always find the libraries in the VM and display spurious errors.
    • The debugging console is not the default, and my choice is never remembered, so every time I restart my program, it's a dialog and several clicks to get it back. The debugging console has the same contextual problems with remote debugging that the editor does.
    Incentivized
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    H2O.ai
    • Better documentation
    • Improve the Visual presentations including charting etc
    Incentivized
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    Likelihood to Renew
    Open Source
    I love this product, what makes it one of the best tool out in the market is its ability to function with a wide range of languages. The online community support is superb, so you are never stuck on an issue. The customization is endless, you can keep adding plugins or jars for more functionalities as per your requirements. It's Free !!!
    Incentivized
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    H2O.ai
    No answers on this topic
    Usability
    Open Source
    It has everything that the developer needs to do the job. Few things that I have used in my day-to-day development 1. Console output. 2. Software flash functionality supporting multiple JTAG vendors like J-LINK. 3. Debugging capabilities like having a breakpoint, looking at the assembly, looking at the memory etc. this also applies to Embedded boards. 4. Plug-in like CMake, Doxygen and PlantUML are available.
    Incentivized
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    H2O.ai
    No answers on this topic
    Support Rating
    Open Source
    I gave this rating because Eclipse is an open-source free IDE therefore no support system is available as far as I know. I have to go through other sources to solve my problem which is very tough and annoying. So if you are using Eclipse then you are on your own, as a student, it is not a big issue for me but for developers it is a need.
    Read full review
    H2O.ai
    The overall experience I have with H2O is really awesome, even with its cost effectiveness.
    Incentivized
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    Alternatives Considered
    Open Source
    The installation, adaptability, and ease of usage for Eclipse are pretty high and simple compared to some of the other products. Also, the fact that it is almost a plug and play once the connections are established and once a new user gets the hang of the system comes pretty handy.
    Incentivized
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    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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    Return on Investment
    Open Source
    • This development environment offers the possibility of improving the productivity time of work teams by supporting the integration of large architectures.
    • It drives constant change and evolution in work teams thanks to its constant versioning.
    • It works well enough to develop continuous server client integrations, based on solid or any other programming principle.
    Incentivized
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    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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