New features
Last updated: 8/28/2026This release introduces Java 21 compilation support, upgrades the Studio platform to Eclipse 2026-03, and migrates Salesforce components to the Talend Component Kit framework.
Application Integration
| Feature | Description |
|---|---|
|
New API-first components to build REST Data Services directly from API contracts |
The following components are now available to implement REST Data Services from
API contracts in a contract-first approach:
|
|
Enhancement of the memory support on cLangchainChat for Routes |
The cLangchainChat component now provides enhanced memory support in Routes, including isolated chat memory per session and persistence in relational or NoSQL databases. You can configure conversation retention and optional session TTL settings to control chat history lifecycle. |
Big Data
| Feature | Description |
|---|---|
| Support for Databricks Serverless in Spark Batch Jobs with serverless environment versions 4 and 5 | You can now run your Spark Batch Jobs on Databricks Serverless compute by
selecting Databricks Serverless from the Runtime
mode/environment dropdown list in the Spark
Configuration view. Serverless compute is fully managed by
Databricks and does not require any cluster configuration. It is available on AWS
and Azure cloud providers. Requirements: Unity Catalog must be enabled, the workspace must be in a region that supports serverless compute, and the PCI-DSS compliance profile must not be enabled.
|
| Support for CDP Public Cloud 7.3.2 with Spark 3.5.x | You can now run your Spark Jobs on a CDP Public Cloud Base 7.3.2 cluster
using Spark Universal with Spark 3.x in Cloudera Public
Cloud 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 CDP Private Cloud Base 7.1.9 with Spark 3.5.x | You can now run your Spark Jobs on a CDP Private Cloud Base 7.1.9 cluster
using Spark Universal with Spark 3.x in Cloudera Private
Cloud mode. You can configure it either in the Spark
Configuration view of your Spark Jobs or in the Hadoop
Cluster Connection metadata wizard.
|
| New Google Cloud Configuration in Metadata for Spark Batch Jobs | You can now create a Google Cloud Configuration from the Big Data Configurations node in the Metadata folder of the Repository tree view. The configuration stores your Google Cloud Project ID and authentication credentials for reuse across Jobs. When you drag and drop the configuration onto a Job, Talend Studio creates a tGSConfiguration component in Spark Batch Jobs. |
Continuous Integration
| Feature | Description |
|---|---|
|
Upgrade of Talend CI Builder to version 8.0.36 |
Talend CI Builder is upgraded to version 8.0.36. Use Talend CI Builder 8.0.36 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 tQVDInput component to read QVD files in Standard Jobs |
A new tQVDInput component is available in Standard Jobs to read QVD files, allowing you to reuse QVD data from Qlik Cloud and Qlik Sense directly in Talend Studio workflows without converting files to intermediate formats first. |
|
New option to set the page size for tNetSuiteInput (SOAP) in Standard Jobs |
In the Advanced settings of tNetSuiteInput, you can now set the number of records to retrieve per page when the component reads data from the NetSuite SOAP service. |
Data Mapper
| Feature | Description |
|---|---|
| Support for aggregation functions with conditions in a GROUP BY context | You can now use aggregation functions directly in conditions within a GROUP BY context. For example:
Aggregation functions in conditions are supported only within a GROUP BY context. They are not supported in WHERE clauses or other contexts outside GROUP BY. |
| New option to copy full standard DSQL script into clipboard in tDSQL4JSON | A new Copy Full Script to Clipboard option is available in the tDSQL4JSON component allowing you to copy the DSQL script to the clipboard. The copied script includes parameterized expressions but excludes comments. |
Data Quality
| Feature | Description |
|---|---|
|
Support for Microsoft SQL Server for data mart |
The data mart now supports Microsoft SQL Server 2019, 2022, and 2025. |
|
New tSemanticMatch component for semantic similarity search |
The new tSemanticMatch component enables semantic similarity search against a vector database using an input column as the query vector. The component connects to Milvus vector databases and retrieves the top matching records based on similarity scores. |