> 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/databricks-system-requirements.md).

# System requirements for Databricks

{% hint style="info" %}
If you want to use a version or provider that Structural does not support, contact Tonic.ai.
{% endhint %}

## Supported versions of Databricks

The following table lists the supported versions of Databricks, along with the corresponding version of Spark, based on [this information in the Databricks documentation](https://docs.databricks.com/aws/en/release-notes/runtime/).

| Databricks version | Spark version |
| ------------------ | ------------- |
| 14.3 LTS           | 3.5.0         |
| 13.3 LTS           | 3.4.1         |
| 12.2 LTS           | 3.3.2         |
| 11.3 LTS           | 3.3.0         |
| 10.4 LTS           | 3.2.1         |
| 9.1 LTS            | 3.1.2         |

## Supported providers

Structural supports the following data providers:

<table><thead><tr><th valign="top">Source Provider</th><th valign="top">Output Provider</th></tr></thead><tbody><tr><td valign="top">Parquet</td><td valign="top">Parquet</td></tr><tr><td valign="top">CSV</td><td valign="top">Parquet</td></tr><tr><td valign="top">Avro</td><td valign="top">Avro</td></tr><tr><td valign="top">JSON</td><td valign="top">JSON</td></tr><tr><td valign="top">ORC</td><td valign="top">ORC</td></tr><tr><td valign="top">Delta</td><td valign="top">Delta</td></tr></tbody></table>

## 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 Amazon S3).&#x20;

Structural can read from both table types. When it writes output data, Structural only writes to EXTERNAL tables.

## Must have clustering columns

Your Databricks tables must have clustering columns.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.tonic.ai/app/setting-up-your-database/databricks/databricks-system-requirements.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
