New features

Shared features

Feature	Description
Support for Azure Databricks SQL Warehouse Data Viewer	Data viewer and query generation for Azure Databricks SQL Warehouse is now supported.
Job lineage support in Qlik Cloud for tQVDOutput, tQlikOutput, and tDBRow components	Talend Studio can now generate datasets and lineage to Qlik Cloud for tQVDOutput, tQlikOutput, and tDBRow components with the following limitations: tQlikOutput: datasets and lineage will be created only if the Qlik Cloud space identifier is specified. tDBRow: no datasets and lineage will be created when tDBRow is used to execute select queries or multiple SQL queries.
New third_party folder in Talend Studio patch	A new third_party folder is added to Talend Studio patch which contains lists of third-party Java libraries for different distributions in JSON format.

Big Data

Feature	Description
Support for CDP Public Cloud 7.3 with Spark Universal 3.x (Livy Knox)	You can now run your Spark Jobs on a CDP Public Cloud 7.3 cluster using Spark Universal with Spark 3.x in Livy Knox mode. You can configure it either in the Spark Configuration view of your Spark Jobs or in the Hadoop Cluster Connection metadata wizard.
Support for Databricks Unity Catalog in tIcebergTable	You can now use Unity Catalog to work with managed tables in tIcebergTable component.
Support for Kudu version 1.17 in the Kudu components	You can now work with Kudu version 1.17 in tKuduConfiguration, tKuduInput, and tKuduOutput components.

Continuous Integration

Feature	Description
Upgrade of Talend CI Builder to version 8.0.26	Talend CI Builder is upgraded from version 8.0.25 to version 8.0.26. Use Talend CI Builder 8.0.26 in your CI commands or pipeline scripts from this monthly version onwards until a new version of Talend CI Builder is released.

Feature

Description

Upgrade of Talend CI Builder to version 8.0.26

Talend CI Builder is upgraded from version 8.0.25 to version 8.0.26.

Use Talend CI Builder 8.0.26 in your CI commands or pipeline scripts from this monthly version onwards until a new version of Talend CI Builder is released.

Data Integration

Feature	Description
New tGeminiClient component for Google AI Gemini in Standard Jobs	The new tGeminiClient component allows integration with Google Gemini AI models, enabling connectivity and interaction with Google’s AI services for enhanced data processing.
Support for Confluent for Kafka components in Standard Jobs	The Kafka components now support Confluent, allowing you to leverage Confluent-specific features in addition to standard Apache Kafka support. Note that testing has been performed only with Confluent Platform, not with Confluent Cloud. For more information about the supported Confluent versions, see Confluent Platform and Apache Kafka compatibility.
Support for HTTP/2 protocol for tHTTPClient component in Standard Jobs	The tHTTPClient component has been updated to support the HTTP/2 protocol, so that improved performance and modern API compatibility are achieved.
Support for WSDL logging for SOAP envelopes for NetSuite components in Standard Jobs	You can now enable WSDL logging for SOAP envelopes in the advanced settings of the NetSuite components, in order to facilitate traceability and troubleshooting.

Data Mapper

Feature	Description
Support for hierarchical recursive to flat transformation in DSQL map editor	You can now flatten recursive structure in the DSQL map editor. This recursive to flat transformation introduce the following new clauses: FROM RECURSIVE path FROM path_1 RECURSIVE ON path_2 UNNEST RECURSIVE path UNNEST path_1 RECURSIVE ON path_2 DEPTH variable PARENT variable
Support for the CondValidateReport function in any part of a validate expression	You can now use the CondValidateReport function either as the root or as a parameter of a validation expression to provide richer reporting of a validation problem.
Support for ReadMapInput function in the non-Eclipse runtime	The ReadMapInput function for Standard map is now supported in the non-Eclipse runtime.

Data Quality

Feature	Description
Renaming `user-defined indicators` to `custom indicators`	The `user-defined indicators` (UDI) have been renamed to `custom indicators` on the UI. The feature is the same, only the name changed.