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



Add a new idea Subscribe
Status Not under consideration
Workspace Watson Studio
Created by Guest
Created on Aug 17, 2017

RELATED IDEAS

Add the ability to view JVM stdout and log4j logs in realtime for Python notebooks.

When working with PySpark, it is common to need realtime access to stdout and log4j from the JVM side of Spark. When running PySpark from a terminal, Python stdout, JVM stdout, and log4j logs sent to the console will all be available in that same terminal. However, this is only because the Python process and the JVM process are set to independently output to the same terminal location. When working with notebooks, only the Python stdout will be shown. It would be ideal to be able to view any JVM stdout and log4j console logs in realtime even while working within a PySpark notebook.

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