# Connect to a Databricks data source
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The Databricks data source enables you to query and visualize Databricks data within Amazon Managed Grafana. It includes a SQL editor to format and color code your queries.

**Note**  
This data source is for Grafana Enterprise only. For more information, see [Manage access to Enterprise plugins](upgrade-to-enterprise-plugins.md).  
Additionally, in workspaces that support version 9 or newer, this data source might require you to install the appropriate plugin. For more information, see [Extend your workspace with plugins](grafana-plugins.md).

## Adding a Databricks data source
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Follow these steps to add a Databricks data source in the Grafana console.

**To add a Databricks data source**

1. Open the side menu by choosing the Grafana icon in the top header.

1. In the side menu, under the **Dashboards** link, select **Data Sources**.
**Note**  
If you don't see the **Data Sources** link, you do not have the `Admin` role for Grafana.

1. Choose the **\$1 Add data source** button in the top header. 

1. Select **Databricks** from the **Type** dropdown list.
**Note**  
If you don't see the Databricks option, and need it, you must upgrade to Grafana Enterprise.

1. Choose the options to connect to and edit your data.

## Notes when using the Databricks data source
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**Time series**

Time series visualizations are selectable when you add a `datetime` field to your query. This field will be used as the timestamp for the series. If the field does not include a specific time zone, Grafana will assume that the time is UTC.

**Multi-line time series**

To create a multi-line time series visualization, the query must include at least three fields in the following order.

1. A `datetime` field with an alias of `time`.

1. A value to `GROUP BY`.

1. One or more metric values to visualize.

The following is an example of a query that will return multi-line time series options.

```
SELECT log_time AS time, machine_group, avg(disk_free) AS avg_disk_free
FROM mgbench.logs1
GROUP BY machine_group, log_time
ORDER BY log_time
```