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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DataStage

can we create something that limits the number of jobs in a project within next gen Datastage ?

A per-project job limit gives admins governance and cost control over Next Gen DataStage environments.
11 days ago in DataStage Submitted

Redshift Connector –Support Target Table Default Values for Missing Columns in Redshift Load Write Method

We would like to request an enhancement to the IBM DataStage Redshift Connector to improve handling of target table columns that contain database-defined default values when using the Load write method. Currently, all target table columns must be ...
about 1 month ago in DataStage Submitted

Enable setting of key columns without UI

In target connectors you can choose "Generate SQL", when doing this for an Update or Delete statement it will only work if you are not using RCP, for currently you can only check key columns for design time columns. It would be cool if you could a...
about 1 month ago in DataStage Submitted

When upgrading Data Stage, from one version to another, the views and flows have to be recompiled. This is currently limited to the project owners. An enhancement request would be to allow those doing the upgrade to upgrade the views and flows as part of the upgrade

When upgrading Data Stage, from one version to another, the views and flows have to be recompiled. This is currently limited to the project owners. An enhancement request would be to allow those doing the upgrade to upgrade the views and flows as ...
about 2 months ago in DataStage Submitted

Add SQL pushdown support for DB2 for z/OS connector in DataStage NextGen

Flows using the db2zos connector compile and run purely as px-runtime OSH with no pushdown. ELT mode does not support db2zos, so no predicate or transformation is pushed into DB2 for z/OS. All data is extracted to the parallel engine before any fi...
3 months ago in DataStage Under review

Redshift Connector – Consistent Handling of Unused Source Columns

Scenarios where source and target schemas do not exactly match. In such cases, connectors should provide flexible handling of unused or extra columns to avoid unnecessary job failures and improve usability. Currently, the behavior of the Redshift ...
3 months ago in DataStage Under review

Redshift Connector – Consistent Handling of Unused Source Columns

Scenarios where source and target schemas do not exactly match. In such cases, connectors should provide flexible handling of unused or extra columns to avoid unnecessary job failures and improve usability. Currently, the behavior of the Redshift ...
3 months ago in DataStage Under review

Configurable attachment/version retention policy

Current DataStage/CAMS import behavior creates a new attachment/version every time assets are imported using the “replace” option. In enterprise CI/CD environments with automated deployments and shared dependencies, this quickly reaches the curren...
3 months ago in DataStage Under review

Request to increase the 1000-Line Execution Log Limit in DataStage Anywhere

In DataStage 9, we were able to fully trace and monitor iterative processes that generated extensive log entries. Currently, the DataStage Anywhere web interface limits the execution log display to only the first 1000 lines. Full log visibility is...
3 months ago in DataStage Under review

Automated Backup for DataStage Anywhere

Built-in scheduling for automated (non-manual) project and metadata backups. Currently this is done by a manual process of backup/restore
3 months ago in DataStage Under review

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