Tonic supports the running of Spark jobs via Databricks on AWS. To run Tonic on Databricks on Azure please reach out to [email protected]
Supported versions of Databricks
Tonic supports Spark 2.4.x and Spark 3+. However, Spark 2.4.2 is not supported. Any version of Databricks running one of the aforementioned Spark versions should be compatible, however, Tonic has only been tested against Databricks v7.4.
Tonic supports the following data providers:
Supported table types
Databricks supports both MANAGED and EXTERNAL tables.
MANAGED tables store all of their data within Databricks.
EXTERNAL tables store their data on a separate file system (often S3).
Tonic can read from both table types. When writing output data, Tonic only writes to EXTERNAL tables.