Spark SDK

In addition to its native integration with Databricks and Amazon EMR, Tonic also supports Spark through an SDK.
The Spark SDK allows you to incorporate Tonic directly into existing Spark programs and workflows.
The Tonic Spark SDK is written in Java. It can be used in existing Java, PySpark, and Scala Spark programs.
Tonic differences and limitations
Features that are unavailable or work differently in Spark SDK workspaces
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Configure workspace data connections
Data connection settings for Spark SDK workspaces
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Run data generation from Spark
Use the Tonic SDK to run data generation on Spark SDK workspaces
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Configuring Snowflake workspace data connections

Tonic differences and limitations with the Spark SDK

Last modified 28d ago