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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Dataiku

    Score8.6 out of 10
    N/AThe Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A

    erwin Data Modeler

    Score10 out of 10
    N/Aerwin Data Modeler by Quest is a data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. It can discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives, accomplishing this whil esupporting data governance and intelligence efforts.N/A
    Pricing
    Dataikuerwin Data Modeler
    Editions & Modules
    Discover
    Contact sales team
    Business
    Contact sales team
    Enterprise
    Contact sales team
    No answers on this topic
    Offerings
    Pricing Offerings
    Dataikuerwin Data Modeler
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Dataikuerwin Data Modeler
    Considered Both Products
    Dataiku
    No answer on this topic
    Quest Software
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    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
    100%
    Happy with the feature set
    5 Answers
    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
    Dataikuerwin Data Modeler
    Platform Connectivity
    Comparison of Platform Connectivity features of Dataiku and erwin Data Modeler
    Feature
    Dataiku
    8.6
    5 Ratings
    3% above category average
    erwin Data Modeler
    -
    Ratings
    Connect to Multiple Data Sources8.05 Ratings00 Ratings
    Extend Existing Data Sources10.04 Ratings00 Ratings
    Automatic Data Format Detection10.05 Ratings00 Ratings
    MDM Integration6.52 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Dataiku and erwin Data Modeler
    Feature
    Dataiku
    10.0
    5 Ratings
    17% above category average
    erwin Data Modeler
    -
    Ratings
    Visualization10.05 Ratings00 Ratings
    Interactive Data Analysis10.05 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Dataiku and erwin Data Modeler
    Feature
    Dataiku
    9.5
    5 Ratings
    15% above category average
    erwin Data Modeler
    -
    Ratings
    Interactive Data Cleaning and Enrichment9.05 Ratings00 Ratings
    Data Transformations9.05 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 erwin Data Modeler
    Feature
    Dataiku
    8.5
    5 Ratings
    0% above category average
    erwin Data Modeler
    -
    Ratings
    Multiple Model Development Languages and Tools8.05 Ratings00 Ratings
    Automated Machine Learning8.05 Ratings00 Ratings
    Single platform for multiple model development8.05 Ratings00 Ratings
    Self-Service Model Delivery10.04 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Dataiku and erwin Data Modeler
    Feature
    Dataiku
    8.0
    5 Ratings
    6% below category average
    erwin Data Modeler
    -
    Ratings
    Flexible Model Publishing Options8.05 Ratings00 Ratings
    Security, Governance, and Cost Controls8.05 Ratings00 Ratings
    Best Alternatives
    Dataikuerwin Data Modeler
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    No answers on this topic
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    ER/Studio
    Score9.9 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    ER/Studio
    Score9.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Dataikuerwin Data Modeler
    Likelihood to Recommend
    10.0
    (4 ratings)
    6.1
    (7 ratings)
    Usability
    10.0
    (1 ratings)
    9.0
    (2 ratings)
    Support Rating
    9.4
    (3 ratings)
    9.0
    (3 ratings)
    User Testimonials
    Dataikuerwin Data Modeler
    Likelihood to Recommend
    Dataiku
    Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
    Incentivized
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    Quest Software
    I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.
    Incentivized
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    Pros
    Dataiku
    • Allows users to collaborate and monitor individual tasks
    • Caters to both types of analysts, coders and non-coders, alike
    • Integrate graphs and plots with visualization tools such as Tableau
    Incentivized
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    Quest Software
    • Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
    • Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
    • Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.
    Incentivized
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    Cons
    Dataiku
    • The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
    • When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
    • Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
    Incentivized
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    Quest Software
    • Cost is the single largest barrier to entry with this tool.
    • Would like to see a greater variety of export options available for use outside of the tool, for example as a vector graphic.
    • Support has been uneven at times.
    Incentivized
    Read full review
    Usability
    Dataiku
    The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
    Incentivized
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    Quest Software
    I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.
    Incentivized
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    Support Rating
    Dataiku
    The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
    Incentivized
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    Quest Software
    CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.
    Incentivized
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    Alternatives Considered
    Dataiku
    Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
    Incentivized
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    Quest Software
    Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.
    Incentivized
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    Return on Investment
    Dataiku
    • Customer satisfaction
    • Timely project delivery
    Incentivized
    Read full review
    Quest Software
    • It is difficult to assign a monetary value to it. The initial learning curve was fairly long.
    • It allows us to have better support documentation.
    • It allows ease of communications between functional units.
    Incentivized
    Read full review
    ScreenShots

    erwin Data Modeler Screenshots

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