> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/app/setting-up-your-database/databricks.md).

# 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 data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Structural process for Databricks</strong><br><br>How Structural generates output from Databricks.</td><td><a href="/pages/H6BR9kZhMKt4ir5P2TZa">/pages/H6BR9kZhMKt4ir5P2TZa</a></td></tr><tr><td><strong>System requirements</strong><br><br>Supported versions and providers.<br><br></td><td><a href="/pages/6lfGaSeLKGZnwlYGKjjE">/pages/6lfGaSeLKGZnwlYGKjjE</a></td></tr><tr><td><strong>Structural differences and limitations</strong><br><br>Features that are unavailable or work differently with the Databricks connector.</td><td><a href="/pages/HHuiUVJsYwsOJWZPHLWi">/pages/HHuiUVJsYwsOJWZPHLWi</a></td></tr><tr><td><strong>Required Databricks configuration</strong><br><br>Required configuration for Databricks before you create a Structural workspace.</td><td><a href="/pages/yPDjhE33PSEfXZYmLgmg">/pages/yPDjhE33PSEfXZYmLgmg</a></td></tr><tr><td><strong>Configure workspace data connections</strong><br><br>Connecting to the source and destination for a Databricks workspace.</td><td><a href="/pages/-MOrVgbecvRRaVx5TqBw">/pages/-MOrVgbecvRRaVx5TqBw</a></td></tr><tr><td><strong>Databricks connection troubleshooting</strong><br><br>Options for self-hosted instances to troubleshoot connection failures.</td><td><a href="/pages/BxBXz1KypdWwVMJgeOha">/pages/BxBXz1KypdWwVMJgeOha</a></td></tr></tbody></table>


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