The following table lists the data objects that you can create based on the type of target you write to in either Hadoop or Databricks environment:

Targets in a Streaming Mapping	Environment
Amazon Kinesis	Hadoop, Databricks
Amazon S3	Hadoop, Databricks
Azure Event Hubs	Hadoop, Databricks
Cassandra	Hadoop
Complex File	Hadoop
Confluent Kafka	Databricks
Databricks Delta Lake	Databricks
Google Cloud Storage	Hadoop
HBase	Hadoop
JMS	Hadoop
Kafka	Hadoop, Databricks
Kudu	Hadoop
MapR Streams	Hadoop
Microsoft Azure Data Lake	Hadoop
Microsoft Azure Data Lake Storage Gen2	Hadoop, Databricks
Relational	Hadoop
Snowflake	Hadoop

You can run streaming mappings in the Databricks environment on the AWS or Azure platforms. The following table shows the list of targets that you can include in a streaming mapping based on the cloud platform:

Targets	Cloud Platform
Amazon Kinesis	AWS
Amazon S3	AWS
Azure Event Hubs	Azure
Confluent Kafka	AWS, Azure
Databricks Delta Lake	AWS, Azure
Kafka	AWS, Azure
Microsoft Azure Data Lake Storage Gen2	Azure