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

Requirements

To ingest basic metadata snowflake user must have the following privileges:
  • USAGE Privilege on Warehouse
  • USAGE Privilege on Database
  • USAGE Privilege on Schema
  • SELECT Privilege on Tables
Before you grant privileges, replace these placeholders with your own values:

Additional Privileges

The following workflows require additional grants:
  • Incremental Extraction: Collate fetches the information by querying snowflake.account_usage.tables.
  • Ingesting Tags: Collate fetches the information by querying snowflake.account_usage.tag_references.
  • Ingesting Stored Procedures: Collate fetches the information by querying snowflake.account_usage.procedures & snowflake.account_usage.functions.
  • Lineage & Usage Workflow: Collate fetches the query logs by querying snowflake.account_usage.query_history. For this, the Snowflake user must be granted the ACCOUNTADMIN role or a role with IMPORTED PRIVILEGES on the SNOWFLAKE database. For more information about the account_usage schema, see Account Usage.

Iceberg Table Support

Snowflake supports Iceberg table ingestion in Collate through source metadata signals.

How Table Classification Works

  • Collate reads Iceberg-related metadata from Snowflake system table metadata.
  • When Snowflake metadata resolves Iceberg table semantics, Collate classifies the table as Iceberg.

Access requirements

  • Catalog permissions: Grant read access to information_schema.tables and any required account usage views used by your ingestion mode.
  • File system permissions: Direct object storage write permissions are not required for metadata ingestion. Keep read access aligned with your Snowflake external table and catalog setup.

Metadata Ingestion

To ingest metadata from Snowflake, you need to create a service connection. The service connects Snowflake 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 Snowflake 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 Snowflake 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 will execute. Add Name and Select Ingestion Runner

Enter Connection Details

Enter the connection details for Snowflake. The right-hand panel in the UI displays inline help for each field. Configure Service Connection
  • Username: Specify the User to connect to Snowflake. It should have enough privileges to read all the metadata.
  • Password: Password to connect to Snowflake.
  • Account: Snowflake account identifier uniquely identifies a Snowflake account within your organization, as well as throughout the global network of Snowflake-supported cloud platforms and cloud regions. If the Snowflake URL is https://xyz1234.us-east-1.gcp.snowflakecomputing.com, then the account is xyz1234.us-east-1.gcp.
  • Role (Optional): You can specify the role of user that you would like to ingest with, if no role is specified the default roles assigned to user will be selected.
  • Warehouse: Snowflake warehouse is required for executing queries to fetch the metadata. Enter the name of warehouse against which you would like to execute these queries.
  • Database (Optional): The database of the data source is an optional parameter, if you would like to restrict the metadata reading to a single database. If left blank, Collate ingestion attempts to scan all the databases.
  • Private Key (Optional): If you have configured the key pair authentication for the given user you will have to pass the private key associated with the user in this field. For more information about key-pair authentication, see Key-pair authentication and key-pair rotation. Ensure your private key is formatted correctly before passing it. The key must be a single line with all line breaks replaced by \n. For example, if you have the following multi-line key (raw format):
    Replace it with the following single-line key (required format):
    Replace every newline character in your key with a literal \n, including after the final line.
  • Snowflake Passphrase Key (Optional): If you have configured the encrypted key pair authentication for the given user you will have to pass the paraphrase associated with the private key in this field. You can checkout this doc to get more details about key-pair authentication.
  • Include Temporary and Transient Tables: Optional configuration for ingestion of TRANSIENT and TEMPORARY tables, By default, it will skip the TRANSIENT and TEMPORARY tables.
  • Include Streams: Optional configuration for ingestion of streams, By default, it will skip the streams.
  • Client Session Keep Alive: Optional Configuration to keep the session active in case the ingestion job runs for longer duration.
  • Account Usage Schema Name: Full name of account usage schema, used in case your user does not have direct access to SNOWFLAKE.ACCOUNT_USAGE schema. In such case you can replicate tables QUERY_HISTORY, TAG_REFERENCES, PROCEDURES, FUNCTIONS to a custom schema, for example CUSTOM_DB.CUSTOM_SCHEMA and provide the same name in this field. When using this field make sure you have all these tables available within your custom schema QUERY_HISTORY, TAG_REFERENCES, PROCEDURES, FUNCTIONS.

Advanced Configuration

Database Services have an Advanced Configuration section, where you can pass extra arguments to the connector and, if needed, change the connection Scheme. This would only be required to handle 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. 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: 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.
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.

Incomplete Column Level for Views

For views with a tag or policy, you may see incorrect lineage, this can be because user may not have enough access to fetch those policies or tags. You need to grant the following privileges in order to fix it. check out Snowflake docs for further details.
Depending on your view ddl you can grant the relevant privileges per the queries above.

Reverse Metadata

  • Description Management: Snowflake supports full description updates at all levels:
    • Database level
    • Schema level
    • Table level
    • Column level
  • Owner Management: Owner management is not supported for Snowflake, because Snowflake assigns object ownership to roles rather than to individual users. As a workaround, grant ownership to a role and assign that role to the desired user (for example: GRANT ROLE <role_name> TO USER <user_name>;). Transferring ownership with REVOKE CURRENT GRANTS can revoke existing object grants, so test this workflow in non-production first.
  • Tag Management: Snowflake supports tag management at the following levels:
    • Schema level
    • Table level
    • Column level
    Additionally, Snowflake supports automated masking policy application based on tags. For example, when you apply a Sensitive tag to a column in Collate, the corresponding masking policy will be automatically applied to that column in Snowflake.
    Tip: While Collate differentiates between “classification” values and “tag” values, Snowflake’s masking policies only support actions based on classification values (tag keys). Therefore, it is advised not to use PII.None along with tag masking policies.
  • Custom SQL Template: Snowflake supports custom SQL templates for metadata changes. The template is interpreted using python f-strings. Here are examples of custom SQL queries for metadata changes:
    The list of variables for custom SQL can be found here.
  • Requirements for Reverse Metadata: Reverse metadata builds on the basic ingestion privileges. Grant only what the features you use need:
    • Database description: MODIFY on the database
    • Schema description: MODIFY on the schema
    • Table, view or column description: OWNERSHIP of the object
    • Tags: CREATE TAG on the schema, plus APPLY TAG on the account
    • Reading existing tags: the SNOWFLAKE.GOVERNANCE_VIEWER database role
    Note: Descriptions require OWNERSHIP of the object. Snowflake only permits ALTER TABLE/VIEW ... SET COMMENT to the owning role.Tags on objects the role already owns work without APPLY TAG. The account-level APPLY TAG privilege is only needed to tag objects the role does not own.
For more information about reverse metadata ingestion, see Reverse Metadata Application.

Troubleshooting

Snowflake Troubleshooting

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