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

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. AzureSQL database user must grant SELECT privilege to fetch the metadata of tables and views.

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.
Add New Service

Step 2: Select a Service and Connector

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

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.
Add New Service Name
Note: The service name cannot be changed after it is set.

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. Add Name and Select Ingestion Runner

Enter Connection Details

Enter the connection details for AzureSQL. The right-hand panel in the UI displays inline help for each field. Configure Service Connection
  • 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. 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.
Tip: When using a Hybrid Ingestion Runner, any sensitive credential fields—such as passwords, API keys, or private keys—must reference secrets using the following format:
This applies only to fields marked as secrets in the connection form (these typically mask input and show a visibility toggle icon). For more information about managing secrets in hybrid setups, see the Hybrid Ingestion Runner Secret Management Guide

Test Connection

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

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: Leave all filter patterns empty to ingest all databases, schemas, and tables available in the source.

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: If AutoPilot is enabled, usage tracking, data lineage, and other downstream workflows start automatically after the first metadata ingestion completes.

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. Add Metadata Agent 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. Name this Ingestion
    • Agent Setup: Configure core parameters for metadata extraction. The following fields are available: Agent Setup
    • 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. Filter Patterns
    • Scope & Behaviour: Control how the agent handles metadata during ingestion. Toggle each option on or off based on your needs:
      Note: Available toggles vary by connector. Stored procedure options only appear for connectors that support stored procedures.
      Scope & Behaviour
    • Advanced Config: Optional connector-specific settings such as Include Views and Extract JSON Schema. Advanced Config
  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.
    Schedule Interval
  6. Click Add to deploy the agent.

Troubleshooting

AzureSQL Troubleshooting

Learn more about how to troubleshoot common AzureSQL connector issues and resolve configuration or ingestion errors.