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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

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 ...
21 days 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 ...
21 days 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...
about 1 month 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...
about 1 month 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
about 1 month ago in DataStage Under review

Schedule a single job multiple times a day with different parameters via UI for DataStage Anywhere

This feature currently is supported in Datastage 8 and 9 however it is nos possible in DataStage SaaS. We require this feature to be available in the UI. The details of the scenario is described in this ticket: TS021624305. Currently there is a sh...
about 1 month ago in DataStage Under review

GIT for Datastage NG (based on review with customer)

Together with the customer we validated the initial version of Git for Datastage NG. Customer is using Datastage NG based on CPD 5.2.1 in production since y25. As the idea comprises a lot of aspects including diagrams, we created a document and ad...
4 months ago in DataStage Under review

Snowflake Connector Bulk Unload

Hi, We are migrating our Teradata DB to Snowflake on Azure. We are migrating our datastage jobs accordingly. We need to unload large volume of data with Snowflake Connector, using Bulk unload, the same way we do bulk load (CREATE STAGE - COPY INTO...
about 1 year ago in DataStage Under review

Jobs API - have synchronous call to launch Datastage jobs

One of our customer (CNP in France) is evaluating the CP4D-DataStage. They have DataStage 11.5 and actually migrating to 11.7. They have a framework (BASIC code that orchestrates the DataStage jobs) that is the centerpiece of their DataStage proje...
over 2 years ago in DataStage Under review

ELT on Spark (Cloudera + Databricks)

Numerous customers are using Talend Big Data (ETL tool converting design in Spark code to run on Hadoop clusters). Talend recently raised their price and many customers are evaluating competition. There are many opportunities for Datastage but any...
5 months ago in DataStage Under review