What's new and changed in Db2 Warehouse

Db2 Warehouse updates can include new features and fixes. Releases are listed in reverse chronological order so that the latest release is at the beginning of the topic.

You can see a list of the new features for the platform and all of the services at What's new in IBM Software Hub.

IBM Cloud Pak for Data Version 5.3.1

A new version of Db2 Warehouse was released in February 2026.

This release includes the following changes:

IBM Cloud Pak for Data Version 5.3.0

A new version of Db2 Warehouse was released in December 2025.

This release includes the following changes:

New features
This release of Db2 Warehouse includes the following features:
Deploy Db2 Warehouse database with non-root deployment (Restricted-v2 SCC)

Now, when deploying a new Db2 Warehouse database in your IBM® Software Hub cluster, you can enable non-root deployment by selecting the checkbox Deploy Db2 Warehouse with non-root deployment on the Advanced Configurations page. Selecting the Restricted-v2 option uses Red Hat® OpenShift®’s default restricted-v2 Security Context Constraint (SCC) to meet strict security requirements while maintaining full functionality.

This SCC ensures that:
  • Workloads run with non-root privileges.
  • Use of sudo or elevated permissions is not allowed.

For more information on permission levels and requirements, see Deploying Db2 Warehouse with non-root access in a restricted-v2 SCC on IBM Software Hub.

Query external data with Datalake tables

You can now use Datalake tables to work with data stored in open formats like PARQUET and ORC directly from Db2 Warehouse, without moving the data into the database.

With Datalake tables, you can do the following:

  • Query external data: Define a Datalake table in Db2 Warehouse and use it in complex queries with other Db2 Warehouse tables.
  • Export Db2 data to object storage while keeping it queryable by using:
    • INSERT
    • SELECT INFO
    • CREATE DATALAKE TABLE AS SELECT
  • Import data from a Datalake table into a table in the database. You can perform operations such as casts, joins, and dropping columns to manipulate data during importing.
Issues fixed in this release
The following issues were fixed in this release:
Db2 users unable to authenticate to the Db2 OLTP database over JDBC
Issue: When users try to access the Db2 OLTP database via JDBC, they face authentication failures even when they have the admin access.