The April 2026 release of Data Integration Connectors includes the following important notices.
Preview lifted
S3 tables lakehouse pattern in Amazon SageMaker Lakehouse Connector
Effective in the April 2026 release, the S3 tables lakehouse pattern is production ready. Previously, this functionality was only available in preview.
You can use Amazon SageMaker Lakehouse Connector to read from and write to Apache Iceberg tables in Amazon SageMaker Lakehouse. The Apache Iceberg tables are managed by the S3 tables catalog and stored in Amazon S3. You can use an Amazon SageMaker Lakehouse connection only in a mapping in advanced mode.
Deprecation initiated
Google Ads Connector
Informatica intends to drop support for Google Ads Connector in a future release. If your existing mappings use a Google Ads connection, Informatica requests you to transition to REST V2 Connector.
For more information about REST V2 Connector, see the REST V2 connector user guide.
Databricks JDBC driver
You can configure the Databricks JDBC driver version 2.7.5.
Informatica recommends that you test your tasks in the pre-release environment to ensure seamless integration before using the JDBC driver version 2.7.5 in your production environment.
For more information about how to configure the Databricks JDBC driver version 2.7.5, see the Databricks JDBC driver Knowledge Base article.