What users are saying about
16 Ratings
6 Ratings
16 Ratings
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Score 9.2 out of 100
6 Ratings
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Score 9.1 out of 100

Feature Set Ratings

    Platform Connectivity

    9.1

    Dataiku DSS

    91%

    Paxata

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 4/4 features

    Connect to Multiple Data Sources

    10.0
    100%
    4 Ratings
    N/A
    0 Ratings

    Extend Existing Data Sources

    10.0
    100%
    4 Ratings
    N/A
    0 Ratings

    Automatic Data Format Detection

    10.0
    100%
    4 Ratings
    N/A
    0 Ratings

    MDM Integration

    6.5
    65%
    2 Ratings
    N/A
    0 Ratings

    Data Exploration

    9.7

    Dataiku DSS

    97%

    Paxata

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 2/2 features

    Visualization

    9.7
    97%
    4 Ratings
    N/A
    0 Ratings

    Interactive Data Analysis

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Data Preparation

    9.8

    Dataiku DSS

    98%

    Paxata

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    9.9
    99%
    4 Ratings
    N/A
    0 Ratings

    Data Transformations

    9.9
    99%
    4 Ratings
    N/A
    0 Ratings

    Data Encryption

    9.7
    97%
    4 Ratings
    N/A
    0 Ratings

    Built-in Processors

    9.9
    99%
    4 Ratings
    N/A
    0 Ratings

    Platform Data Modeling

    8.7

    Dataiku DSS

    87%

    Paxata

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    5.3
    53%
    4 Ratings
    N/A
    0 Ratings

    Automated Machine Learning

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Single platform for multiple model development

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Self-Service Model Delivery

    9.8
    98%
    4 Ratings
    N/A
    0 Ratings

    Model Deployment

    8.9

    Dataiku DSS

    89%

    Paxata

    Feature Set Not Supported
    N/A
    Dataiku DSS ranks higher in 2/2 features

    Flexible Model Publishing Options

    8.9
    89%
    4 Ratings
    N/A
    0 Ratings

    Security, Governance, and Cost Controls

    8.9
    89%
    4 Ratings
    N/A
    0 Ratings

    Attribute Ratings

    • Dataiku DSS is rated higher in 1 area: Likelihood to Recommend

    Likelihood to Recommend

    9.8

    Dataiku DSS

    98%
    4 Ratings
    9.0

    Paxata

    90%
    1 Rating

    Usability

    10.0

    Dataiku DSS

    100%
    1 Rating

    Paxata

    N/A
    0 Ratings

    Support Rating

    9.3

    Dataiku DSS

    93%
    3 Ratings

    Paxata

    N/A
    0 Ratings

    Likelihood to Recommend

    Dataiku

    Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
    Read full review

    Paxata

    Paxata can be highly useful to someone who doesn't like/have any experience with writing codes to treat data before using it as input into BI dashboards. Paxata can accelerate data cleaning in environments where a large amount of unclean data is generated and business decisions on the go are required. It performs really well while dealing with natural language.
    Read full review

    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.
    Read full review

    Paxata

    • Visualize distributions in large data sets effectively which enable the user to quickly spot outliers and treat them appropriately
    • Provides recommendation to merge datasets based on matching column values
    • The cluster and edit feature in my opinion is its most powerful feature and reduces cardinality in column with text
    Read full review

    Cons

    Dataiku

    • End product deployment.
    Read full review

    Paxata

    • Doesn't provide recommendation on how to impute values
    • There is a lag quite often
    • We can say whether a column has errors or quality issues in the first look
    Read full review

    Pricing Details

    Dataiku DSS

    Starting Price

    $0

    Editions & Modules

    Dataiku DSS editions and modules pricing
    EditionModules
    DiscoverContact sales team1
    BusinessContact sales team2
    EnterpriseContact sales team3

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Paxata

    Starting Price

    Editions & Modules

    Paxata editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      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.
      Read full review

      Paxata

      No answers on this topic

      Support Rating

      Dataiku

      The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
      Read full review

      Paxata

      No answers on this topic

      Alternatives Considered

      Dataiku

      Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
      Read full review

      Paxata

      Paxata is a much better tool when it comes to handling natural language but Talend provides recommendations on how to impute missing values and outliers. Paxata provides recommendations on dataset tie-ups and joins but Talend doesn't provide any such recommendations. In paxata you can visualize distribution of data in a column and filter them by dragging and selecting the section you'd like to retain
      Read full review

      Return on Investment

      Dataiku

      • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
      • Platform also ease tracking of data processing workflow, unlike Excel.
      • Build-in data visualizations covers many use cases with minimal customization; time saver.
      Read full review

      Paxata

      • It saves time to clean data
      • It reduces the requirement of too many data engineer/stewards and hence adds positive impact on the return of the business
      Read full review

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