Skip to Main Content
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 Data & AI Roadmaps (http://ibm.biz/Data-and-AI-Roadmaps) - Use this site to view roadmaps for Data & AI products.

IBM Employees should enter Ideas at https://hybridcloudunit-internal.ideas.aha.io/


ADD A NEW IDEA

FILTER BY CATEGORY

Analytics Engine

Showing 15

Extend policy and rule enforcement to Analytics Engine

Analytics Engine components such as Hive are an important part of the Data Lake story. Without Hive, external users are unable to query data in IBM Cloud Object Storage. However, Analytics Engine is not integrated with Watson Knowledge Catalog. T...
over 4 years ago in Analytics Engine 0 Future consideration

The Spark job should use the mount_path attribute of the storage volume by default

The volumes.mount_path attribute in the Spark Jobs API is mandatory, https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=jobs-spark-api-syntax-parameters-return-codes This should be an optional attribute to make it consistent with the usage o...
12 months ago in Analytics Engine 0 Future consideration

Include Graphframes Spark package in CPD

Graphframes package for Spark provides the capabilities of both the GraphX and the Spark DataFrames. The recent Apache Spark 3.0 release has several enhancements with respect to the features enablement and performance, especially, for the Spark Da...
about 2 years ago in Analytics Engine 0 Future consideration

Document how to setup hive for acid transactions

HDInsight make it super easy to use Hive ACID transactions - can we make it easier for users to setup hive transactions on Analytics Engine? https://blogs.msdn.microsoft.com/azuredatalake/2017/04/06/azure-hdinsight-3-6-five-things-that-will-mak...
over 4 years ago in Analytics Engine 0 Future consideration

Document how to configure Hive LLAP

Hive LLAP provides large performance improvements. Can we add to the IAE documentation how to configure it? Azure make this especially easy by provide LLAP by default with certain cluster types - https://docs.microsoft.com/en-us/azure/hdinsight/i...
over 4 years ago in Analytics Engine 0 Future consideration