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).


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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Status Under review
Workspace Db2 Analytics Accelerator for z/OS
Created by Guest
Created on Aug 15, 2024

RELATED IDEAS

Improve throughput of InSync - IBM Integrated Synchronization

Evaluation of the feasibility of data replication from a Datasharing to an IDAA be supported by multiple Log Reader Tasks (LRTs) / Log Data Processors. 
In order to achieve this, we understand that a specific LRT would be responsible for capturing IUD operations from a delimited set of tables. Similarly, on the accelerator side, a specific log data processor would handle the application of these IUD operations for the same set of tables. This parallelism could potentially improve replication performance.
Despite our efforts, in collaboration with IBM (Daniel danmartin@de.ibm.com, Bjorn bbroll@de.ibm.com, and Mehmet mehmet.Goksu@ibm.com), we are unable to keep up with data replication from very large tables with a massive volume of inserts: during peak hours, 28 million rows per minute. The latency reaches up to 4 hours.

Needed By Yesterday (Let's go already!)

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