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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Dataiku

    Score7.6 out of 10
    N/AThe Dataiku platform unifies all data work, from analytics to Generative AI. It can modernize enterprise analytics and accelerate time to insights with visual, cloud-based tooling for data preparation, visualization, and workflow automation.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
    DataikuH2O.ai
    Editions & Modules
    Discover
    Contact sales team
    Business
    Contact sales team
    Enterprise
    Contact sales team
    No answers on this topic
    Offerings
    Pricing Offerings
    DataikuH2O.ai
    Free Trial
    YesNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    DataikuH2O.ai
    Considered Both Products
    Dataiku
    Chose Dataiku
    I cannot comment on it as I have not used these tools as such.
    Incentivized
    H2O.ai
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    DataikuH2O.ai
    Platform Connectivity
    Comparison of Platform Connectivity features of Dataiku and H2O.ai
    Feature
    Dataiku
    9.1
    4 Ratings
    8% above category average
    H2O.ai
    -
    Ratings
    Connect to Multiple Data Sources10.04 Ratings00 Ratings
    Extend Existing Data Sources10.04 Ratings00 Ratings
    Automatic Data Format Detection10.04 Ratings00 Ratings
    MDM Integration6.52 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Dataiku and H2O.ai
    Feature
    Dataiku
    10.0
    4 Ratings
    18% above category average
    H2O.ai
    -
    Ratings
    Visualization9.94 Ratings00 Ratings
    Interactive Data Analysis10.04 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Dataiku and H2O.ai
    Feature
    Dataiku
    10.0
    4 Ratings
    20% above category average
    H2O.ai
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.04 Ratings00 Ratings
    Data Transformations10.04 Ratings00 Ratings
    Data Encryption10.04 Ratings00 Ratings
    Built-in Processors10.04 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Dataiku and H2O.ai
    Feature
    Dataiku
    8.7
    4 Ratings
    4% above category average
    H2O.ai
    -
    Ratings
    Multiple Model Development Languages and Tools5.14 Ratings00 Ratings
    Automated Machine Learning10.04 Ratings00 Ratings
    Single platform for multiple model development10.04 Ratings00 Ratings
    Self-Service Model Delivery10.04 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Dataiku and H2O.ai
    Feature
    Dataiku
    9.0
    4 Ratings
    5% above category average
    H2O.ai
    -
    Ratings
    Flexible Model Publishing Options9.04 Ratings00 Ratings
    Security, Governance, and Cost Controls9.04 Ratings00 Ratings
    User Ratings
    DataikuH2O.ai
    Likelihood to Recommend
    10.0
    (4 ratings)
    8.1
    (3 ratings)
    Usability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    9.4
    (3 ratings)
    9.0
    (1 ratings)
    User Testimonials
    DataikuH2O.ai
    Likelihood to Recommend
    Dataiku
    No answers on this topic
    H2O.ai
    No answers on this topic
    Pros
    Dataiku
    • The intuitiveness of this tool is very good.
    • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
    • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
    Incentivized
    Read full review
    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
    Read full review
    Cons
    Dataiku
    No answers on this topic
    H2O.ai
    No answers on this topic
    Usability
    Dataiku
    As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
    Incentivized
    Read full review
    H2O.ai
    No answers on this topic
    Support Rating
    Dataiku
    No answers on this topic
    H2O.ai
    No answers on this topic
    Alternatives Considered
    Dataiku
    No answers on this topic
    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
    Read full review
    Return on Investment
    Dataiku
    No answers on this topic
    H2O.ai
    No answers on this topic
    ScreenShots