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.
Supported Providers
Tonic supports the following data providers:
Source Provider
Output Provider
Parquet
Parquet
Avro
Avro
JSON
Parquet
Note that source data written in JSON will be outputted to Parquet files.
Supported Table Types
Databricks supports both MANAGED and EXTERNAL tables. MANAGED tables store all of their data within Databricks, whereas EXTERNAL tables store their data on a separate file system (often S3). Tonic can read from both table types but when writing output data will only write to EXTERNAL tables.