# Databricks

Databricks is a cloud-based platform for big data processing.

Tonic Structural can run Spark jobs on Databricks on AWS and Azure Databricks.

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Structural process for Databricks</strong></td><td>How Structural data generation works with Databricks.</td><td></td><td><a href="databricks/connectors-databricks-process-overview">connectors-databricks-process-overview</a></td></tr><tr><td><strong>System requirements</strong></td><td>Supported versions and providers for Databricks.</td><td></td><td><a href="databricks/databricks-system-requirements">databricks-system-requirements</a></td></tr><tr><td><strong>Structural differences and limitations</strong></td><td>Features that are unavailable or work differently for the Databricks data connector.</td><td></td><td><a href="databricks/databricks-tonic-differences">databricks-tonic-differences</a></td></tr><tr><td><strong>Required Databricks configuration</strong></td><td>Required configuration for Databricks before you create a Databricks workspace.</td><td></td><td><a href="databricks/before-you-create-a-databricks-workspace">before-you-create-a-databricks-workspace</a></td></tr><tr><td><strong>Configure workspace data connections</strong></td><td>Data connection settings for Databricks workspaces.</td><td></td><td><a href="databricks/connecting-to-databricks">connecting-to-databricks</a></td></tr></tbody></table>
