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

For information about restrictions for batch mappings, see the

Data Engineering Integration User Guide

.