The transformation types that you can add to a streaming mapping correlate to the types that you can add to a batch mapping with Data Engineering Integration. Most of the restrictions related to batch mappings also apply to streaming mappings. The transformation restrictions mentioned in this guide apply specifically to streaming mappings.

The following table lists the supported transformations in a streaming mapping in the Hadoop and Databricks environment:

Transformations	Environment
Address Validator	Hadoop, Databricks
Aggregator	Hadoop, Databricks
Classifier	Hadoop, Databricks
Data Masking	Hadoop
Expression	Hadoop, Databricks
Filter	Hadoop, Databricks
Java	Hadoop
Joiner	Hadoop, Databricks
Lookup	Hadoop
Macro	Hadoop, Databricks
Normalizer	Hadoop, Databricks
Parser	Hadoop, Databricks
Python	Hadoop, Databricks
Rank	Hadoop, Databricks
Router	Hadoop, Databricks
Sorter	Hadoop
Standardizer	Hadoop, Databricks
Union	Hadoop, Databricks
Window	Hadoop, Databricks

For information about restrictions for batch mappings, see the

Data Engineering Integration User Guide

.