IBM Data Platform Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data Platform organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).


Shape the future of IBM!

We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:


Search existing ideas

Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,


Post your ideas

Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,

  1. Post an idea

  2. Upvote ideas that matter most to you

  3. Get feedback from the IBM team to refine your idea


Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com



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Watson Studio

    Showing 399

    Orchestrator for model chaining and multi model execution

    Clients needs often necessitate chaining of multiple (predictive as well as prescriptive and quite often a mix of the two) models - the output of one model will trigger the invocation of next model depending upon a complex (if-then-else) logic. Th...
    over 7 years ago in Watson Studio 0 Not under consideration

    Support distributed execution through SPSS Modeler (ie Canvas) component

    This component is not using the Spark backend of IBM® Data Science Experience Local. There is no distribution of SPSS jobs at the moment that can leverage Spark or Cloudera backend. Today a full IBM® Data Science Experience pipeline made of for ex...
    over 7 years ago in Watson Studio 0 Not under consideration

    Github Pull Integration

    If the Github repo associated with a project has been pulled to a local machine, and the constituent notebooks edited, there is no native way to pull the changes into the IBM Watson Studio project. This can hamper greatly appreciate collaboration ...
    almost 4 years ago in Watson Studio / Watson Studio 0 Functionality already exists

    Undelete a deleted project in IBM DSX

    It could be interesting to keep in "a kind of trash" a deleted project to allow recoveries from sometimes inevitable mistakes (as it was my case)
    almost 8 years ago in Watson Studio 0 Not under consideration

    Please support Phoenix JDBC running on IBM Analytics Engine as a sink

    Please support Phoenix JDBC running on IBM Analytics Engine as a sink
    almost 8 years ago in Watson Studio 1 Not under consideration

    Notebooks should highlight errors

    If a notebook has an error, the offending line should be highlighted. If you don't check the output, it's possible you might not even realize there was an error. For example: #Print out the schemaexample1_df.printSchema() #Advanced Option 1example...
    about 8 years ago in Watson Studio 0 Not under consideration

    Tie comments to notebook cells

    Currently comments are notebook level. I'd prefer to see comments tied to a notebook cell. Users could view all comments or comments for whatever cell they are on. This would allow for far better feedback in a collaborative environment IMO.
    about 8 years ago in Watson Studio 0 Not under consideration

    The volumes.mount_path attribute in the Spark Jobs API is mandatory

    The volumes.mount_path attribute in the Spark Jobs API is mandatory, https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=jobs-spark-api-syntax-parameters-return-codes This should be an optional attribute to make it consistent with the usage o...
    about 4 years ago in Watson Studio / Watson Studio 0 Not under consideration

    Adapter to realtime SAP Data Structures

    Most of the "relevant" data in commercial data processing resides in SAP Business Suite Systems. Traditionally this data is loaded in SAP's Business Warehouse (BW) for further storage, cleansing, analytics..... Old school, but very prevalent in th...
    about 8 years ago in Watson Studio 2 Not under consideration

    Python/Scala/R Flow node from notebooks

    it must be possible to write python/R/Scala nodes. It would be very cool to have a Jupyter magic in a notebook to write a cell function as a node to use inside the flows.
    about 8 years ago in Watson Studio 0 Not under consideration

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