> ## Documentation Index
> Fetch the complete documentation index at: https://openmetadata-format-2-0-connector-overview-pages.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Databricks Connector | OpenMetadata Integration Guide

> Connect Databricks to OpenMetadata effortlessly. Complete setup guide, configuration steps, and metadata extraction for your data lakehouse platform.

export const ConnectorDetailsHeader = ({name, icon, stage, availableFeatures, unavailableFeatures = [], availableFeaturesCollate = []}) => {
  const showSubHeading = availableFeatures?.length > 0 || unavailableFeatures?.length > 0 || availableFeaturesCollate?.length > 0;
  const totalAvailableFeatures = [...availableFeatures || [], ...availableFeaturesCollate || []];
  return <div className="container">
      <div className="Heading">
        <div className="flex items-center gap-3">
          {icon && <div className="IconContainer">
              <img src={icon} alt={name} noZoom className="ConnectorIcon" />
            </div>}
          <h1 className="ConnectorName">{name}</h1>
          <span className={`StageBadge ${stage === 'PROD' ? 'prod' : 'beta'}`}>
            {stage}
          </span>
        </div>
      </div>
      {showSubHeading && <div className="SubHeading">
          <div className="FeaturesHeading">Feature List</div>
          <div className="FeaturesList">
            {totalAvailableFeatures.map(feature => <div className="FeatureTag AvailableFeature" key={feature}>
                ✓ {feature}
              </div>)}
            {unavailableFeatures.map(feature => <div className="FeatureTag UnavailableFeature" key={feature}>
                ✕ {feature}
              </div>)}
          </div>
        </div>}
    </div>;
};

<ConnectorDetailsHeader icon="/public/images/connectors/databrick.webp" name="Databricks" stage="PROD" availableFeatures={["Metadata", "Query Usage", "Lineage", "Column-level Lineage", "Data Profiler", "Data Quality", "dbt", "Sample Data", "Auto-Classification", "Tags", "Owners"]} unavailableFeatures={["Stored Procedures"]} />

<Tip>
  As per the [documentation](https://docs.databricks.com/en/data-governance/unity-catalog/tags.html#manage-tags-with-sql-commands) here, note that we only support metadata `tag` extraction for Databricks version 13.3 version and higher.
</Tip>

In this section, we provide guides and references to use the Databricks connector.

<Info>
  **Supported Authentication Types:**

  * **Personal Access Token**: Token-based workspace authentication generated from User Settings in Databricks
  * **Databricks OAuth**: OAuth2 Machine-to-Machine authentication using Service Principal credentials
  * **Azure AD Setup**: Azure Active Directory authentication using Azure Service Principal (for Azure Databricks workspaces)
</Info>

Configure and schedule Databricks metadata and profiler workflows from the OpenMetadata UI:

* [Requirements](#requirements)
* [Unity Catalog](#unity-catalog)
* [Metadata Ingestion](#metadata-ingestion)
* [Query Usage](/v2.0.x-SNAPSHOT/connectors/ingestion/workflows/usage)
* [Data Profiler](/v2.0.x-SNAPSHOT/how-to-guides/data-quality-observability/profiler/profiler-workflow)
* [Data Quality](/v2.0.x-SNAPSHOT/how-to-guides/data-quality-observability/quality)
* [Lineage](/v2.0.x-SNAPSHOT/how-to-guides/data-lineage/workflow)
* [dbt Integration](/v2.0.x-SNAPSHOT/connectors/database/dbt)
* [Troubleshooting](/v2.0.x-SNAPSHOT/connectors/database/databricks/troubleshooting)

## How to Run the Connector Externally

To run the Ingestion via the UI you'll need to use the OpenMetadata Ingestion Container, which comes shipped with
custom Airflow plugins to handle the workflow deployment.

If, instead, you want to manage your workflows externally on your preferred orchestrator, you can check
the following docs to run the Ingestion Framework **anywhere**.

<Columns cols={2}>
  <Card title="External Schedulers" href="/v2.0.x-SNAPSHOT/deployment/ingestion">
    Get more information about running the Ingestion Framework Externally
  </Card>
</Columns>

## Requirements

Before configuring the Databricks connector, make sure the following requirements are in place.

### Permission Requirement

To enable full functionality of metadata extraction, profiling, usage, and lineage features in OpenMetadata, the following permissions must be granted to the relevant users in your Databricks environment.

### Metadata and Profiling Permissions

These permissions are required on the catalogs, schemas, and tables from which metadata and profiling information will be ingested.

```sql theme={null}
GRANT USE CATALOG ON CATALOG <catalog_name> TO `<user>`;
GRANT USE SCHEMA ON SCHEMA <schema_name> TO `<user>`;
GRANT SELECT ON TABLE <table_name> TO `<user>`;
```

Ensure these grants are applied to all relevant tables for metadata ingestion and profiling operations.

### Usage and Lineage

These permissions enable OpenMetadata to extract query history and construct lineage information.

```sql theme={null}
-- Query history for usage analytics and SQL-based lineage
GRANT SELECT ON SYSTEM.QUERY.HISTORY TO `<user>`;
GRANT USE SCHEMA ON SCHEMA system.query TO `<user>`;

-- System lineage tables for table and column-level lineage
GRANT SELECT ON system.access.table_lineage TO `<user>`;
GRANT SELECT ON system.access.column_lineage TO `<user>`;
GRANT USE SCHEMA ON SCHEMA system.access TO `<user>`;
```

These permissions allow access to Databricks system tables that track query activity and lineage relationships, enabling lineage and usage statistics generation.

### View Definitions

To extract view definitions, the user needs access to the information schema:

```sql theme={null}
GRANT SELECT ON INFORMATION_SCHEMA.VIEWS TO `<user>`;
```

### Tags (Databricks 13.3+)

To extract Databricks tags on catalogs, schemas, tables, and columns, the following permissions are required:

```sql theme={null}
GRANT SELECT ON `<catalog_name>`.information_schema.catalog_tags TO `<user>`;
GRANT SELECT ON `<catalog_name>`.information_schema.schema_tags TO `<user>`;
GRANT SELECT ON `<catalog_name>`.information_schema.table_tags TO `<user>`;
GRANT SELECT ON `<catalog_name>`.information_schema.column_tags TO `<user>`;
```

<Warning>
  Tag extraction requires Databricks Runtime 13.3 or higher. If your cluster is running an older version, tags will not be extracted.
</Warning>

<Tip>
  Adjust \<user>, \<catalog\_name>, \<schema\_name>, and \<table\_name> according to your specific deployment and security requirements.
</Tip>

## Unity Catalog

If you are using Unity Catalog in Databricks, then checkout the [Unity Catalog](/v2.0.x-SNAPSHOT/connectors/database/unity-catalog) connector.

## Metadata Ingestion

To ingest metadata from Databricks, you need to create a service connection. The service connects Databricks with OpenMetadata. Once you create a service, OpenMetadata automatically starts ingesting metadata.

### Step 1: Add New Service

1. Navigate to **Settings** > **Services**.

   <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/aexFmzYHE_P6Lrks/public/images/connector2.0/metadata-ingestion/access-services.png?fit=max&auto=format&n=aexFmzYHE_P6Lrks&q=85&s=1d8b1bddab7b8b43c20d4384be39e12a" alt="Navigate to Settings and Services" width="3004" height="1578" data-path="public/images/connector2.0/metadata-ingestion/access-services.png" />

2. Click **Add New Service**.

   <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/aexFmzYHE_P6Lrks/public/images/connector2.0/metadata-ingestion/add-new-service.png?fit=max&auto=format&n=aexFmzYHE_P6Lrks&q=85&s=792f4403f83940c398633345505482a0" alt="Add New Service" width="3002" height="1514" data-path="public/images/connector2.0/metadata-ingestion/add-new-service.png" />

### Step 2: Select a Service and Connector

From the service type dropdown, select **Database Services**, then click the **Databricks** connector tile.

<img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/rMh-qzx9_4Qo0Q4e/public/images/connector2.0/metadata-ingestion/Database/select-service/databricks.png?fit=max&auto=format&n=rMh-qzx9_4Qo0Q4e&q=85&s=638082d4e4837294a5ff22d1cd50fdae" alt="Select Service" width="2164" height="1472" data-path="public/images/connector2.0/metadata-ingestion/Database/select-service/databricks.png" />

### Step 3: Add Service Name and Description

* Enter a unique, descriptive **Service Name**. OpenMetadata identifies services by their service name. Enter a name that distinguishes this deployment from other Databricks services you are ingesting metadata from.
* Optional: Enter a **Description** for the service.

<img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/rMh-qzx9_4Qo0Q4e/public/images/connector2.0/metadata-ingestion/Database/service-name/databricks.png?fit=max&auto=format&n=rMh-qzx9_4Qo0Q4e&q=85&s=75b424914a8702276a5877ea7f8ca8b4" alt="Configure Service" width="1500" height="858" data-path="public/images/connector2.0/metadata-ingestion/Database/service-name/databricks.png" />

<Note>
  **Note**: The service name cannot be changed after it is set.
</Note>

### Step 4: Configure Connection Options

Specify your source credentials and verify the connection.

#### Enter Connection Details

Enter the connection details for Databricks. The right-hand panel in the UI displays inline help for each field.

<img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/Isfp5cI9vmUuuM5w/public/images/connector2.0/metadata-ingestion/Database/connection-details/databricks.png?fit=max&auto=format&n=Isfp5cI9vmUuuM5w&q=85&s=902e852c7aeea4d78c66bb53efd017a4" alt="Configure Service Connection" width="1452" height="1182" data-path="public/images/connector2.0/metadata-ingestion/Database/connection-details/databricks.png" />

* **Host and Port**: Enter the fully qualified hostname and port number for your Databricks deployment in the Host and Port field.
* **Authentication Type**: Choose one of the following authentication methods:
  * **Personal Access Token**: Provide a `token` generated from **User Settings** > **Developer** > **Access Tokens** in your Databricks workspace.
  * **Databricks OAuth**: Provide a `clientId` and `clientSecret` for a Service Principal created in your Databricks Account Console.
  * **Azure AD Setup**: Provide `azureClientId`, `azureClientSecret`, and `azureTenantId` for an Azure Service Principal registered in Azure Active Directory (for Azure Databricks workspaces only).
* **HTTP Path**: Databricks compute resources URL.
* **Connection Timeout**: The maximum amount of time (in seconds) to wait for a successful connection to the data source. If the connection attempt takes longer than this timeout period, an error will be returned.
* **Catalog**: Catalog of the data source (Example: hive\_metastore). This is an optional parameter, if you would like to restrict the metadata reading to a single catalog. When left blank, OpenMetadata Ingestion attempts to scan all the catalogs.
* **DatabaseSchema**: Database schema of the data source. This is an optional parameter, if you would like to restrict the metadata reading to a single database schema. When left blank, OpenMetadata Ingestion attempts to scan all the database schemas.
* **Query History Table**: Table name to fetch the query history from. Defaults to `system.query.history`.

#### Test Connection

Once the credentials have been added, click on **Test Connection** and **Save** the changes.

<img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/2XRXwl2QkxBakIS8/public/images/connectors/test-connection.png?fit=max&auto=format&n=2XRXwl2QkxBakIS8&q=85&s=abe3b568c662295afc530c6c6819f9a5" alt="Test Connection" width="1494" height="310" data-path="public/images/connectors/test-connection.png" />

### Step 5: Configure Ingestion Options

In the **What to Ingest** step, use filter patterns to control which assets OpenMetadata ingests from your database service. Filter patterns use regular expressions applied to asset names.

#### How Filter Patterns Work

* **Include**: Add one or more comma-separated regular expressions. OpenMetadata ingests only assets whose names match at least one expression. Leave blank to include all assets.
* **Exclude**: Add one or more comma-separated regular expressions. OpenMetadata skips any asset whose name matches an expression. Leave blank to exclude nothing.

Rules match asset names using one of five expressions:

* **contains**: matches any name containing the value. For example, `sales` matches `my_sales_data` and `sales_2024`.
* **starts with**: matches names beginning with the value. For example, `prod_` matches `prod_db` and `prod_schema`.
* **ends with**: matches names ending with the value. For example, `_raw` matches `events_raw` and `logs_raw`.
* **is exactly**: matches the exact name only. For example, `analytics` matches only `analytics`.
* **matches regex**: matches names using a regular expression. For example, `^prod_.*_v\d+$` matches `prod_events_v1`.

When both Include and Exclude are set, Exclude takes priority.

<Tip>
  Leave all filter patterns empty to ingest all databases, schemas, and tables available in the source.
</Tip>

**Filter Options**

The Database, Schema, and Table sections each include the following filter options:

* **Database**: Controls which databases OpenMetadata ingests from the source.
* **Schema**: Controls which schemas within the ingested databases are included.
* **Table**: Controls which tables and views within the ingested schemas are included.

Each section provides the following controls:

* **Scan Mode**: You can choose between the following scan modes:
  * **Scan all**: Ingests every asset of that type the connector can access. This is the default.
  * **Only specific**: Enables include rules so only assets matching at least one rule are ingested.
* **Exclude system toggle**: Use this toggle to automatically filter out system-reserved names defined by the connector, for example, **Exclude system databases** for the Databases section.
* **Always exclude**: Add permanent exclusion rules (shown in red). Assets matching these rules are never ingested, regardless of include rules.
* **Preview**: Shows a real-time summary of what will be in scope based on your current rules.
* **Include rules** *(available only in **Only specific** mode)*: Click **+ Add** to define a rule. Added rules appear as chips; an asset is included if it matches any rule.

### Step 6: Create & Deploy

Click **Create & Deploy** to deploy the agent and start the first metadata ingestion run. OpenMetadata saves the service configuration and immediately begins pulling metadata from the source.

To monitor ingestion progress or view the service you just added, go to **Settings** > **Services** and select your service.

## Configure Metadata Agent and Schedule Ingestion

The **Metadata Agent** extracts schemas, tables, columns, and other structural metadata from your source and keeps your OpenMetadata catalog in sync. It powers discovery, lineage, and governance across your data assets.

When you click **Create & Deploy**, OpenMetadata automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the **Agents** tab on the service detail page.

To configure the additional Metadata Agent and schedule ingestion, follow these steps:

1. Navigate to **Settings** > **Services** and select the service type.

   <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/aexFmzYHE_P6Lrks/public/images/connector2.0/metadata-ingestion/access-service-type.png?fit=max&auto=format&n=aexFmzYHE_P6Lrks&q=85&s=3c2d6613c061c17412ec5c800c0f3833" alt="Navigate to Settings and Services" width="2992" height="1612" data-path="public/images/connector2.0/metadata-ingestion/access-service-type.png" />

2. Click the service you have added.

3. Select the **Agents** tab and click **Add Agent** > **Metadata**.

   <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/aexFmzYHE_P6Lrks/public/images/connector2.0/metadata-ingestion/add-metadata-agent.png?fit=max&auto=format&n=aexFmzYHE_P6Lrks&q=85&s=9a59a29bca844f3035d14a7211574c57" alt="Add Metadata Agent" width="2398" height="1144" data-path="public/images/connector2.0/metadata-ingestion/add-metadata-agent.png" />

   For some services, the dropdown is not available and clicking **Add Agent** takes you directly to the agent configuration page.

4. On the **Configure Ingestion** page, do the following and click **Next**.

   * **Name this Ingestion**: Enter a unique recognizable name for this ingestion pipeline.

     <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/aexFmzYHE_P6Lrks/public/images/connector2.0/metadata-ingestion/metadata-agent-name.png?fit=max&auto=format&n=aexFmzYHE_P6Lrks&q=85&s=fa31ef8cb17d501983dd958c19e0c414" alt="Name this Ingestion" width="1578" height="644" data-path="public/images/connector2.0/metadata-ingestion/metadata-agent-name.png" />

   * **Agent Setup**: Configure core parameters for metadata extraction. The following fields are available:

     | Field                                 | Default | Description                                                                                                              |
     | ------------------------------------- | ------- | ------------------------------------------------------------------------------------------------------------------------ |
     | Default Owner                         | —       | Owner applied to all entities when no specific level owner is configured. Accepts a user or team name/email.             |
     | Service Owner                         | —       | Owner assigned to the service entity.                                                                                    |
     | Database Owner                        | —       | Owner assigned to all ingested databases. Accepts a single owner or a per-database name mapping.                         |
     | Database Schema Owner                 | —       | Owner assigned to all ingested schemas. Accepts a single owner or a per-schema name mapping.                             |
     | Table Owner                           | —       | Owner assigned to all ingested tables. Accepts a single owner or a per-table name mapping.                               |
     | Enable Inheritance                    | On      | When on, child entities inherit the owner from their parent when they have no owner configured.                          |
     | Query Log Duration                    | 1       | Number of days to look back in query logs when processing stored procedure results.                                      |
     | Query Parsing Timeout Limit           | 300     | Timeout in seconds for parsing a single query.                                                                           |
     | Number of Threads                     | 1       | Number of threads to use for parallel table ingestion.                                                                   |
     | Incremental Extraction                | Off     | When enabled, subsequent runs only extract entities changed since the last successful run.                               |
     | Successful Pipeline Run Lookback Days | 7       | Number of days to search back for a prior successful run to use as a baseline for incremental extraction.                |
     | Safety Margin Days                    | 1       | Additional days added to the baseline timestamp as a buffer for incremental extraction.                                  |
     | JSON Schema Sample Size               | 10      | Number of rows sampled to infer JSON column schema. Only applies when Extract JSON Schema is enabled in Advanced Config. |

     <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/Isfp5cI9vmUuuM5w/public/images/connector2.0/metadata-ingestion/Database/database-agent-setup.png?fit=max&auto=format&n=Isfp5cI9vmUuuM5w&q=85&s=393df3bce94f71184988e6c553aee4e0" alt="Agent Setup" width="1570" height="1396" data-path="public/images/connector2.0/metadata-ingestion/Database/database-agent-setup.png" />

   * **Filter Patterns**: Apply include or exclude rules to scope which databases, schemas, tables, and stored procedures this agent ingests. For more information about various filter options, see **Step 6: Configure Ingestion Options**.

     <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/Isfp5cI9vmUuuM5w/public/images/connector2.0/metadata-ingestion/Database/database-filter-pattern.png?fit=max&auto=format&n=Isfp5cI9vmUuuM5w&q=85&s=fe20668a777aaad09c9ffac681ee78bf" alt="Filter Patterns" width="1560" height="1030" data-path="public/images/connector2.0/metadata-ingestion/Database/database-filter-pattern.png" />

   * **Scope & Behaviour**: Control how the agent handles metadata during ingestion. Toggle each option on or off based on your needs:

     | Toggle                         | Default | Description                                                                                                                                                                      |
     | ------------------------------ | ------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
     | Include Tables                 | On      | Ingest table metadata from the source. Turn off to skip tables entirely.                                                                                                         |
     | Include Tags                   | On      | Ingest tags from the source.                                                                                                                                                     |
     | Include Stored Procedures      | On      | Ingest stored procedure metadata.                                                                                                                                                |
     | Include DDL Statements         | Off     | Ingest DDL statements alongside table metadata.                                                                                                                                  |
     | Include Owners                 | Off     | Assign owners to ingested entities when the source owner's email matches a user in OpenMetadata. Does not overwrite an existing owner.                                           |
     | Include Custom Properties      | Off     | Ingest connector-specific custom properties onto entities.                                                                                                                       |
     | Mark Deleted Tables            | On      | Soft-delete tables in OpenMetadata when they are removed from the source. Applies only within the currently ingested schema.                                                     |
     | Mark Deleted Stored Procedures | On      | Soft-delete stored procedures in OpenMetadata when they are removed from the source.                                                                                             |
     | Mark Deleted Schemas           | Off     | Soft-delete schemas and all their child assets when removed from the source.                                                                                                     |
     | Mark Deleted Databases         | Off     | Soft-delete databases and all their child assets when removed from the source.                                                                                                   |
     | Override Metadata              | Off     | When on, source values overwrite existing descriptions, tags, owners, and display names in OpenMetadata. When off, OpenMetadata only updates fields that have no existing value. |
     | Enable Debug Log               | Off     | Sets the ingestion log level to DEBUG. Useful for troubleshooting.                                                                                                               |

     <Note>
       Available toggles vary by connector. Stored procedure options only appear for connectors that support stored procedures.
     </Note>

     <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/Isfp5cI9vmUuuM5w/public/images/connector2.0/metadata-ingestion/Database/database-scope-behaviour.png?fit=max&auto=format&n=Isfp5cI9vmUuuM5w&q=85&s=afc838a9f9c231e745c75fa1a23e2d50" alt="Scope & Behaviour" width="1566" height="1436" data-path="public/images/connector2.0/metadata-ingestion/Database/database-scope-behaviour.png" />

   * **Advanced Config**: Optional connector-specific settings such as Include Views and Extract JSON Schema.

     <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/Isfp5cI9vmUuuM5w/public/images/connector2.0/metadata-ingestion/Database/database-advance.png?fit=max&auto=format&n=Isfp5cI9vmUuuM5w&q=85&s=a6026536873e21919d5be32198a74188" alt="Advanced Config" width="1564" height="352" data-path="public/images/connector2.0/metadata-ingestion/Database/database-advance.png" />

5. On the **Schedule Interval** page, set when the agent runs:

   * **Schedule**: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
   * **On-Demand**: No automatic schedule; trigger the agent manually when needed.

   <img src="https://mintcdn.com/openmetadata-format-2-0-connector-overview-pages/wI1VkO40X1vdRc0T/public/images/connectors/schedule.png?fit=max&auto=format&n=wI1VkO40X1vdRc0T&q=85&s=14df1dfeef735efd1ad9fb45da8a7352" alt="Schedule Interval" width="2733" height="1083" data-path="public/images/connectors/schedule.png" />

6. Click **Add** to deploy the agent.

## Related

<Columns cols={2}>
  <Card title="Usage Workflow" href="/v2.0.x-SNAPSHOT/connectors/ingestion/workflows/usage">
    Learn more about how to configure the Usage Workflow to ingest Query information from the UI.
  </Card>

  <Card title="Lineage Workflow" href="/v2.0.x-SNAPSHOT/connectors/ingestion/workflows/lineage">
    Learn more about how to configure the Lineage from the UI.
  </Card>

  <Card title="Profiler Workflow" href="/v2.0.x-SNAPSHOT/how-to-guides/data-quality-observability/profiler/profiler-workflow">
    Learn more about how to configure the Data Profiler from the UI.
  </Card>

  <Card title="Data Quality Workflow" href="/v2.0.x-SNAPSHOT/how-to-guides/data-quality-observability/quality/configure">
    Learn more about how to configure the Data Quality tests from the UI.
  </Card>

  <Card title="dbt Integration" href="/v2.0.x-SNAPSHOT/connectors/database/dbt">
    Learn more about how to ingest dbt models' definitions and their lineage.
  </Card>
</Columns>
