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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

    Jenkins

    Score8.1 out of 10
    N/AJenkins is an open source automation server. Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into a continuous delivery hub for any project.N/A
    Pricing
    H2O.aiJenkins
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    H2O.aiJenkins
    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.aiJenkins
    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
    87%
    Would buy again
    26 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    27 Answers
    Happy with the feature set
    No answers on this topic
    87%
    Happy with the feature set
    26 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    93%
    Lived up to sales and marketing promises
    13 Answers
    Implementation went as expected
    No answers on this topic
    96%
    Implementation went as expected
    22 Answers
    Best Alternatives
    H2O.aiJenkins
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    Saturn Cloud
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    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
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    Enterprises
    DataRobot
    Score8.2 out of 10
    Gradle Build Tool (Open Source)
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    H2O.aiJenkins
    Likelihood to Recommend
    8.1
    (3 ratings)
    6.8
    (74 ratings)
    Usability
    -
    (0 ratings)
    6.4
    (8 ratings)
    Performance
    -
    (0 ratings)
    8.9
    (6 ratings)
    Support Rating
    9.0
    (1 ratings)
    6.6
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.0
    (1 ratings)
    User Testimonials
    H2O.aiJenkins
    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
    Jenkins is a highly customizable CI/CD tool with excellent community support. One can use Jenkins to build and deploy monolith services to microservices with ease. It can handle multiple "builds" per agent simultaneously, but the process can be resource hungry, and you need some impressive specs server for that. With Jenkins, you can automate almost any task. Also, as it is an open source, we can save a load of money by not spending on enterprise CI/CD tools.
    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
    • Automated Builds: Jenkins is configured to monitor the version control system for new pull requests. Once a pull request is created, Jenkins automatically triggers a build process. It checks out the code, compiles it, and performs any necessary build steps specified in the configuration.
    • Unit Testing: Jenkins runs the suite of unit tests defined for the project. These tests verify the functionality of individual components and catch any regressions or errors. If any unit tests fail, Jenkins marks the build as unsuccessful, and the developer is notified to fix the issues.
    • Code Analysis: Jenkins integrates with code analysis tools like SonarQube or Checkstyle. It analyzes the code for quality, adherence to coding standards, and potential bugs or vulnerabilities. The results are reported back to the developer and the product review team for further inspection.
    Incentivized
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    Cons
    H2O.ai
    • Better documentation
    • Improve the Visual presentations including charting etc
    Incentivized
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    Open Source
    • The UI could be slightly better, it feels kind of like the 90s, but it works well.
    • An easier way to filter jobs other than views on the dashboard.
    • An easier way to read the console logs when tests do fail.
    Incentivized
    Read full review
    Likelihood to Renew
    H2O.ai
    No answers on this topic
    Open Source
    We have a certain buy-in as we have made a lot of integrations and useful tools around jenkins, so it would cost us quite some time to change to another tool. Besides that, it is very versatile, and once you have things set up, it feels unnecessary to change tool. It is also a plus that it is open source.
    Incentivized
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    Usability
    H2O.ai
    No answers on this topic
    Open Source
    Jenkins streamlines development and provides end to end automated integration and deployment. It even supports Docker and Kubernetes using which container instances can be managed effectively. It is easy to add documentation and apply role based access to files and services using Jenkins giving full control to the users. Any deviation can be easily tracked using the audit logs.
    Incentivized
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    Performance
    H2O.ai
    No answers on this topic
    Open Source
    No, when we integrated this with GitHub, it becomes more easy and smart to manage and control our workforce. Our distributed workforce is now streamlined to a single bucket. All of our codes and production outputs are now automatically synced with all the workers. There are many cases when our in-house team makes changes in the release, our remote workers make another release with other environment variables. So it is better to get all of the work in control.
    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
    As with all open source solutions, the support can be minimal and the information that you can find online can at times be misleading. Support may be one of the only real downsides to the overall software package. The user community can be helpful and is needed as the product is not the most user-friendly thing we have used.
    Incentivized
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    Implementation Rating
    H2O.ai
    No answers on this topic
    Open Source
    It is worth well the time to setup Jenkins in a docker container. It is also well worth to take the time to move any "Jenkins configuration" into Jenkinsfiles and not take shortcuts.
    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
    Overall, Jenkins is the easiest platform for someone who has no experience to come in and use effectively. We can get a junior engineer into Jenkins, give them access, and point them in the right direction with minimal hand-holding. The competing products I have used (TravisCI/GitLab/Azure) provide other options but can obfuscate the process due to the lack of straightforward simplicity. In other areas (capability, power, customization), Jenkins keeps up with the competition and, in some areas, like customization, exceeds others.
    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
    Read full review
    Open Source
    • Faster Time-to-Market: Jenkins automate the build, testing, and deployment process, enabling faster feedback and continuous improvement.
    • Improved Quality: Jenkins automatically run unit tests and integration tests, ensuring that code changes meet the necessary quality standards.
    • Cost Savings: Jenkins is an open-source tool that is free to use
    Incentivized
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