> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getcollate.io/llms.txt
> Use this file to discover all available pages before exploring further.

# AzureSQL Connector

> Learn how to connect Azure SQL to Collate with step-by-step setup guides, configuration options, and metadata extraction features.

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/azuresql.webp" name="AzureSQL" stage="PROD" availableFeatures={["Metadata", "Query Usage", "Lineage", "Column-level Lineage", "Data Profiler", "Data Quality", "dbt", "Sample Data", "Auto-Classification"]} unavailableFeatures={["Stored Procedures", "Owners", "Tags"]} />

This section provides guides and references to use the AzureSQL connector.
Configure and schedule AzureSQL metadata and profiler workflows from the Collate UI:

* [Requirements](#requirements)
* [Metadata Ingestion](#metadata-ingestion)
* [Data Lineage](/ai-2-0/how-to-guides/data-lineage/workflow)
* [Troubleshooting](/ai-2-0/connectors/database/azuresql/troubleshooting)

## Requirements

Make sure the ingestion container IP is added to the Azure SQL firewall allowlist. For more information, see [Use the Azure portal to manage server-level IP firewall rules](https://learn.microsoft.com/en-us/azure/azure-sql/database/firewall-configure?view=azuresql#use-the-azure-portal-to-manage-server-level-ip-firewall-rules).
AzureSQL database user must grant `SELECT` privilege to fetch the metadata of tables and views.

```sql theme={null}
-- Create a new user
-- More details https://learn.microsoft.com/en-us/sql/t-sql/statements/create-user-transact-sql?view=sql-server-ver16
CREATE USER Mary WITH PASSWORD = '********';
-- Grant SELECT on table
GRANT SELECT TO Mary;
```

## Metadata Ingestion

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

### Step 1: Add New Service

1. In the left navigation, click **Connections**.
2. On the **Connections** page, click **Add New Service**.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/add-new-service.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=733cef1141ef13d318634aa9f407eb2b" alt="Add New Service" width="2992" height="1256" data-path="public/images/ai-2.0/connectors/metadata-ingestion/add-new-service.png" />

### Step 2: Select a Service and Connector

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

<img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/select-service/azuresql.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=c85c67a3d4effd66e7215870b27ccb8d" alt="Select Service" width="2164" height="1472" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/select-service/azuresql.png" />

### Step 3: Add Service Name and Description

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

<img src="https://mintcdn.com/collatedocs/bWmb7UY94lEjxxg4/public/images/ai-2.0/connectors/metadata-ingestion/Database/service-name/azuresql.png?fit=max&auto=format&n=bWmb7UY94lEjxxg4&q=85&s=44145c58384434e7639bf3ba3714648d" alt="Add New Service Name" width="1496" height="858" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/service-name/azuresql.png" />

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

### Step 4: Configure Connection Options

Specify where ingestion runs, provide your source credentials, and verify the connection.

#### Select Ingestion Runner

Select an **Ingestion Runner**: the runner where the ingestion pipeline runs.

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/select-ingestion-runner.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=1249f828648614445e8a976ea1933487" alt="Add Name and Select Ingestion Runner" width="1444" height="506" data-path="public/images/ai-2.0/connectors/metadata-ingestion/select-ingestion-runner.png" />

#### Enter Connection Details

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

<img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/connection-details/azuresql.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=bc3510777c2fe8bc4d79ace9c7e1994d" alt="Configure Service Connection" width="1450" height="1210" data-path="public/images/ai-2.0/connectors/metadata-ingestion/Database/connection-details/azuresql.png" />

* **Username**: Specify the user to connect to AzureSQL. It should have enough privileges to read all the metadata.
* **Password**: Password to connect to AzureSQL.
* **Host and Port**: Enter the fully qualified hostname and port number for your AzureSQL deployment in the Host and Port field.
* **Database**: Optional. Restrict metadata reading to a single database. If left blank, Collate scans all databases.
* **Driver**: Connecting to AzureSQL requires an ODBC driver. Specify the ODBC driver name in the field. Download the [ODBC driver for SQL Server](https://learn.microsoft.com/en-us/sql/connect/odbc/download-odbc-driver-for-sql-server?view=sql-server-ver16). Docker and Kubernetes deployments include this driver by default (`ODBC Driver 18 for SQL Server`).

#### Authentication Mode

* **Authentication**:
  * The `authentication` parameter determines the method of authentication when connecting to AzureSQL using ODBC (Open Database Connectivity).
  * If you select **"Active Directory Password"**, you'll need to provide the password associated with your Azure Active Directory account.
  * Alternatively, if you choose **"Active Directory Integrated"**, the connection uses the credentials of the currently logged-in user. This mode ensures secure and seamless connections with AzureSQL.
* **Encrypt**:
  * The `encrypt` setting in the connection string pertains to data encryption during communication with AzureSQL.
  * When enabled, it ensures that data exchanged between your application and the database is encrypted, enhancing security.
* **Trust Server Certificate**:
  * The `trustServerCertificate` option also relates to security.
  * When set to true, your application trusts the server's SSL certificate without validation. Use this cautiously, as it bypasses certificate validation checks.
* **Connection Timeout**:
  * The `connectionTimeout` parameter specifies the maximum time, in seconds, that your application waits while attempting to establish a connection to AzureSQL.
  * If Collate cannot establish the connection within this timeframe, it raises an error.

#### Advanced Configuration

Database Services include an Advanced Configuration section for passing extra arguments to the connector and, if needed, changing the connection scheme. Use these fields only for advanced connectivity scenarios or customizations.

* **Connection Options (Optional)**: Enter the details for any additional connection options that can be sent to database during the connection. These details must be added as Key-Value pairs.
* **Connection Arguments (Optional)**: Enter the details for any additional connection arguments such as security or protocol configs that can be sent during the connection. These details must be added as Key-Value pairs.

#### Test Connection

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

<img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/test-connection.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=3365cff7bb9d82c85a2ff9ab559d6f11" alt="Test Connection" width="1446" height="188" data-path="public/images/ai-2.0/connectors/metadata-ingestion/test-connection.png" />

### Step 5: Configure Ingestion Options

In the **What to Ingest** step, use filter patterns to control which assets Collate 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. Collate 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. Collate 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>
  **Tip**: Leave all filter patterns empty to ingest all databases, schemas, and tables available in the source.
</Tip>

#### Filter Options

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

* **Database**: Controls which databases Collate 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.
* **Stored Procedure**: Controls which stored procedures are included in metadata ingestion.

Each section provides the following controls:

* **Scan Mode**: 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 Collate ingests only assets that match at least one rule.
* **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). Collate never ingests assets matching these rules, regardless of include rules.
* **Preview**: Shows a real-time summary of what's 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. Collate includes an asset if it matches any rule.

<Tip>
  **Tip**: If [AutoPilot](/ai-2-0/admin-guide/applications/autopilot) is enabled, usage tracking, data lineage, and other downstream workflows start automatically after the first metadata ingestion completes.
</Tip>

### Step 6: Create & Deploy

Click **Create & Deploy** to deploy the agent and start the first metadata ingestion run. Collate 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 **Connections** in the left navigation 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 Collate catalog in sync. It powers discovery, lineage, and governance across your data assets.

When you click **Create & Deploy**, Collate 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. In the left navigation, click **Connections** and select your service.

2. Click the **Agents** tab.

3. Click **Add Agent** and select **Metadata** from the dropdown.
   <img src="https://mintcdn.com/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/add-metadata-agent.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=accad7d1c4ddf209781bff851d51d464" alt="Add Metadata Agent" width="2398" height="1144" data-path="public/images/ai-2.0/connectors/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/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/metadata-agent-name.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=d5ec1f0f3742cadab8cd54c602c97239" alt="Name this Ingestion" width="1578" height="644" data-path="public/images/ai-2.0/connectors/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/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-agent-setup.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=429839e5b479082a6909dd2a7734513d" alt="Agent Setup" width="1570" height="1396" data-path="public/images/ai-2.0/connectors/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 5: Configure Ingestion Options**.

     <img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-filter-pattern.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=8a0c5fcc3475acf8acc94e6eecb55a11" alt="Filter Patterns" width="1560" height="1030" data-path="public/images/ai-2.0/connectors/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 Collate. 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 Collate when they are removed from the source. Applies only within the currently ingested schema.                                                |
     | Mark Deleted Stored Procedures | On      | Soft-delete stored procedures in Collate 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 Collate. When off, Collate only updates fields that have no existing value. |
     | Enable Debug Log               | Off     | Sets the ingestion log level to DEBUG. Useful for troubleshooting.                                                                                                     |

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

     <img src="https://mintcdn.com/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-scope-behaviour.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=6ada5b2870c990f494d1dac400e73459" alt="Scope & Behaviour" width="1566" height="1436" data-path="public/images/ai-2.0/connectors/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/collatedocs/kTp2dTyiNAX4Np5A/public/images/ai-2.0/connectors/metadata-ingestion/Database/database-advance.png?fit=max&auto=format&n=kTp2dTyiNAX4Np5A&q=85&s=63ef86d9e746b6d31f0571b599792357" alt="Advanced Config" width="1564" height="352" data-path="public/images/ai-2.0/connectors/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/collatedocs/bv5oe4uRjuorTJO1/public/images/ai-2.0/connectors/metadata-ingestion/schedule.png?fit=max&auto=format&n=bv5oe4uRjuorTJO1&q=85&s=25cc1d78f6f2a8bd115830d034d1d8d1" alt="Schedule Interval" width="1588" height="1044" data-path="public/images/ai-2.0/connectors/metadata-ingestion/schedule.png" />

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

## Troubleshooting

<Columns cols={2}>
  <Card title="AzureSQL Troubleshooting" href="/ai-2-0/connectors/database/azuresql/troubleshooting">
    Learn more about how to troubleshoot common AzureSQL connector issues and resolve configuration or ingestion errors.
  </Card>
</Columns>
