IBM Data and AI Ideas Portal for Customers


This portal is to open public enhancement requests against products and services offered by the IBM Data & AI 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).


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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:


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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,


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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,

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  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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DataStage

Showing 492

Enhance DataStage Flow Designer Integration with Git

We have started using Git for maintaining our DataStage codebase. We're able to publish/load the jobs to/from Git repo successfully. However, if we want to publish multiple jobs to the Git repository at once, current version of DataStage Flow Desi...
about 4 years ago in DataStage 0 Not under consideration

Unable to read SQL stements from file using Goole BigQuery Connector stage.

Need to be able to read SQL stements from file using Goole BigQuery Connector stage.
8 months ago in DataStage 0 Submitted

Partitioned reads from Google BigQuery should permit selection of column used to generate the partition query

BigQuery database supports partitioning of tables like range partitioning and time partitioning. If the table is already partitioned on the database side, then that particular column will be used to create the partition queries: https://cloud.goog...
8 months ago in DataStage 0 Submitted

Integrate GitHub source control with Information Server DataStage and BigIntegrate

Need GitHub integrated with DataStage/BigIntegrate for version control and deployment
almost 7 years ago in DataStage 1 Functionality already exists

Spectrum Storage Scale (GPFS) ARM64 Source version for Linux (RHEL9)

Spectrum Storage Scale (GPFS) is needed for new NVIDIA Grace Hopper ARM64 Superchip HPC Nodes.
9 months ago in DataStage 0 Not under consideration

Missing sparse lookup for Big Query connector Stage on DataStage on CP4D.

Missing sparse lookup for Big Query connector Stage on DataStage on CP4D.
9 months ago in DataStage 1 Submitted

Missing sparse lookup for Postgres Connector Stage on DataStage on CP4D.

Missing sparse lookup for Postgres Connector Stage on DataStage on CP4D.
9 months ago in DataStage 1 Submitted

UI for DS to user-friendly, proactively recognize whether I can start up an environment of a certain size or not

Related to CPDIDEAS-I-561 so the UIs for the services (WS. WKC and DS) can be built. This is to proractively and user-reldy determine be informed if not sufficient resources are available per nodto start an R or Notebook runtime environment.
9 months ago in DataStage 0 Under review

SQL type Query solution on DS job meta data, like 11.7 DSODB, XMETA tables

GM is running DS 11.7.4 currently, and has at vertical application teams who have their own SELECT queries on DSODB DB tables attached to their instance of DS platform, for jobrun statuses (success/failure) & statistics of job start/end runtim...
9 months ago in DataStage 0 Under review

Replacement of Rest API calls for XMETA information with database connectors for much much faster retrieval

Hello, My team is trying to run a job in Data Stage on ING Datalakes and it takes around 10+ hours to complete. Performance issue is generated by Rest API calls while retrieving data from XMETA, daily run being questionable due to this approach....
over 3 years ago in DataStage 0 Future consideration

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