Connector What's New > April 2026 > Enhanced connectors

Enhanced connectors

The April 2026 release of Data Integration Connectors includes the following new features and enhancements.

Amazon Athena Connector

This release includes the following enhancements for Amazon Athena Connector:

•Amazon Athena Connector uses the AWS SDK version 2.30.15 and the Athena JDBC driver version 3.7.0.
•You can use a credential file that stores the AWS credentials, such as access keys and secret keys, to authenticate access to Amazon Athena.
•You can read data of Array, Struct, and Map data types in JSON format in a mapping.
•You can configure a connection and mapping in one environment and then migrate and run the mapping in another environment using a different connection.

Amazon DynamoDB V2 Connector

Amazon DynamoDB V2 Connector uses AWS SDK version 2.30.15.

Amazon S3 V2 Connector

This release includes the following enhancements for Amazon S3 V2 Connector:

•You can read and write data in Apache Iceberg format in a mapping.
•You can use a checksum algorithm in a mapping that writes to Amazon S3.

Amazon SageMaker Lakehouse Connector

You can configure cross-account access when the Secure Agent running on an EC2 instance is in one AWS account, while Apache Iceberg tables, Glue Catalogs, and Athena workgroups reside in a different AWS account.

Concur V2 Connector

You can override the source connection at run time with values specified in a parameter file.

Databricks Connector

This release includes the following enhancements for Databricks Connector:

•When you read from Databricks, you can sort data based on a sort condition before the data enters the data flow.
•You can read data from external tables in Text, JSON, Avro, and ORC formats in Databricks. You can also write to and create external tables at runtime in Text, JSON, Avro, ORC, Parquet, and CSV formats.
•Databricks Connector uses the AWS SDK version 2.30.15 to stage data in Amazon S3.
•You can configure the Secure Agent to automatically retrieve the primary key columns if the target table contains them. Therefore, you no longer need to explicitly specify the primary key columns in the Update Columns advanced target property.

Google Cloud Storage V2 Connector

You can read from Apache Iceberg files in a mapping.

Klaviyo Connector

You can filter the list of unsubscribed profiles for the Global Exclusions and Unsubscribes source object.

Microsoft Fabric Data Warehouse Connector

This release includes the following enhancements for Microsoft Fabric Data Warehouse Connector:

•You can specify additional connection properties in a Microsoft Fabric Data Warehouse connection to configure parameters such as retry count, retry interval, and login timeout, thereby enhancing connection resiliency.
•When you write data to Microsoft Fabric Data Warehouse, you can specify additional runtime properties to configure retry delay, maximum number of retries, and the SQL endpoint in the lakehouse where data is stored temporarily.

Microsoft SQL Server Connector

This release includes the following enhancements for Microsoft SQL Server Connector:

•You can configure the JDBC driver version 6.0.0.001957 available in the LATEST folder to run all your mappings and tasks.

For more information about configuring this driver, see How to configure the updated JDBC driver with Microsoft SQL Server Connector Knowledge article.

•You can sort the source fields in ascending or descending order in a mapping.

MySQL Connector

You can sort the source fields in ascending or descending order in a mapping.

ODBC Connector

This release includes the following enhancements for ODBC Connector:

•You can connect to a DB2 z/OS database using the DB2 subtype in the connection.
•You can sort the source fields in ascending or descending order in a mapping.

Oracle Connector

This release includes the following enhancements for Oracle Connector:

•You can configure the following JDBC and ODBC driver versions available in the LATEST folder to run all your mappings and tasks:

- JDBC: 6.0.0.001794
- ODBC: 08.02.3863

For more information about configuring these drivers, see How to configure the updated JDBC and ODBC drivers with Oracle Connector Knowledge article.

•You can connect to Oracle using LDAP authentication.
•You can sort the source fields in ascending or descending order in a mapping.

PostgreSQL Connector

This release includes the following enhancements for PostgreSQL Connector:

•You can configure the JDBC driver version 6.0.0.001843 available in the latest folder to run all your mappings and tasks.

For more information about configuring this driver, see How to configure the updated JDBC driver for PostgreSQL Connector Knowledge article.

•You can read data of UUID data type in a mapping.
•You can configure a stored function in an SQL transformation.

Salesforce Connector

Salesforce Connector uses the Salesforce API version 64.0.

SAP HANA Connector

This release includes the following enhancements for SAP HANA Connector:

•You can override the source and lookup connections at run time with values specified in a parameter file.
•When you read from SAP HANA, you can perform the following actions on the data:

- Override the default SQL query.
- Override the schema specified in the connection.
- Override the table name of the imported SAP HANA table.

SAP Table Connector

You can override the source and lookup connections at run time with values specified in a parameter file.

Snowflake Data Cloud Connector

This release includes the following enhancements for Snowflake Data Cloud Connector:

•Mapping in SQL ELT mode

You can optimize the mapping performance by pushing down the following functions to Snowflake:

- Conditional expressions
- Regular expressions
- String and binary functions

For the list of functions that you can push down to Snowflake, see the Snowflake Data Cloud Connector documentation.

•You can use the programmatic access token as a new authentication type to connect to Snowflake.
•You can configure Google Cloud Private Link to enable private communication between the Secure Agent and Snowflake endpoint hosted on the Google Cloud platform.
•When you look up data from Snowflake, you can configure the precision of datetime fields in a cached connected or unconnected lookup. This enhancement doesn't apply to mappings in SQL ELT mode.