# tUnite

Centralizes data from various and heterogeneous sources.

tUnite merges data from various sources, based on a common schema.

Note that tUnite cannot exist in a data flow loop. For instance, if a data flow goes through several tMap components to generate two flows, they cannot be fed to tUnite.

Information noteNote: This component is for sequential flow only and does not support parallelization.

Depending on the Talend product you are using, this component can be used in one, some or all of the following Job frameworks:

* Standard: see [tUnite Standard properties](https://help.qlik.com/talend/en-US/components/7.3/processing/tunite-standard-properties).

  The component in this framework is available in all Talend products.

* Spark Batch: see [tUnite properties for Apache Spark Batch](https://help.qlik.com/talend/en-US/components/7.3/processing/tunite-properties-for-apache-spark-batch).

  The component in this framework is available in all Talend products with Big Data and Talend Data Fabric.

* Spark Streaming: see [tUnite properties for Apache Spark Streaming](https://help.qlik.com/talend/en-US/components/7.3/processing/tunite-properties-for-apache-spark-streaming).

  This component is available in Talend Real Time Big Data Platform and Talend Data Fabric.

### In this section

* [tUnite Standard properties](https://help.qlik.com/talend/en-US/components/7.3/orchestration/tunite-standard-properties?id=4669)
* [tUnite properties for Apache Spark Batch](https://help.qlik.com/talend/en-US/components/7.3/orchestration/tunite-properties-for-apache-spark-batch?id=4670)
* [tUnite properties for Apache Spark Streaming](https://help.qlik.com/talend/en-US/components/7.3/orchestration/tunite-properties-for-apache-spark-streaming?id=4671)

**Related concepts**

[Iterating on files and merge the content](https://help.qlik.com/talend/en-US/components/7.3/orchestration/tunite-tfilelist-tfileinputdelimited-tlogrow-iterating-on-files-and-merge-content-standard-component-the)