Qlik Talend Cloud Data Integration improvements

Customers who are using Qlik Data Gateway – Data Movement need to upgrade to 2025.11.23 or later to benefit from these improvements. For upgrade instructions and a list of resolved issues, see Upgrading the Data Movement gateway installation.

Extended Parallel Load support

The Parallel Load feature now supports Databricks target.

Replicating dataset segments in parallel

DDL History control table: Newly supported targets

The attrep_ddl_history (DDL History) control table contains a history of DDL changes that occurred on the source during replication to the target.

The following target endpoints are now supported:

• Google BigQuery
• Google Cloud Alloy DB for PostgreSQL
• Google Cloud SQL for PostgreSQL
• PostgreSQL (on-premises)

DDL history

Enhancement to the “[header]__change_mask” header column

When using Change Tables with Parquet format, the header column [header]__change_mask now pads zeros to the left (instead of the right), to align with the little endian rule of storing bytes in reverse order.

Affected target endpoints:

• Amazon S3

• Google Cloud Storage

Change Tables

Newly supported data source and target versions

• Kafka target: 4.0.x

• IBM z/OS source: 3.2

Newly supported driver versions

• Microsoft ODBC Driver 18.5
• MySQL 8.4

End-of-life for Microsoft Azure Database for MySQL and Microsoft Azure Database for PostgreSQL

Support for Microsoft Azure Database for MySQL and Microsoft Azure Database for PostgreSQL, which have been officially retired by Microsoft, has been discontinued.

End-of-life data source and target versions

• Databricks target: 10.4 LTS and 11.3 LTS

• MariaDB source and target: 10.5

• PostgreSQL source and target: 13.x

• MySQL source and target: 8.1

End-of-life driver versions

• Microsoft ODBC Driver 18.3