This section provides guides and references to use the Snowflake connector.
Configure and schedule Snowflake metadata and profiler workflows from the Collate UI:
- Requirements
- Iceberg Table Support
- Metadata Ingestion
- Query Usage
- Data Profiler
- Data Quality
- Lineage
- dbt Integration
- Troubleshooting
- Reverse Metadata
Requirements
To ingest basic metadata snowflake user must have the following privileges:USAGEPrivilege on WarehouseUSAGEPrivilege on DatabaseUSAGEPrivilege on SchemaSELECTPrivilege on Tables
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 theACCOUNTADMINrole or a role withIMPORTED PRIVILEGESon theSNOWFLAKEdatabase. For more information about theaccount_usageschema, 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.tablesand 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
- In the left navigation, click Connections.
- On the Connections page, click Add New Service.

Step 2: Select a Service and Connector
From the service type dropdown, select Database Services, then click the Snowflake connector tile.
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.

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.
Enter Connection Details
Enter the connection details for Snowflake. The right-hand panel in the UI displays inline help for each field.
- 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 isxyz1234.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
TRANSIENTandTEMPORARYtables, By default, it will skip theTRANSIENTandTEMPORARYtables. - 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_USAGEschema. In such case you can replicate tablesQUERY_HISTORY,TAG_REFERENCES,PROCEDURES,FUNCTIONSto a custom schema, for exampleCUSTOM_DB.CUSTOM_SCHEMAand provide the same name in this field. When using this field make sure you have all these tables available within your custom schemaQUERY_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.
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.
- contains: matches any name containing the value. For example,
salesmatchesmy_sales_dataandsales_2024. - starts with: matches names beginning with the value. For example,
prod_matchesprod_dbandprod_schema. - ends with: matches names ending with the value. For example,
_rawmatchesevents_rawandlogs_raw. - is exactly: matches the exact name only. For example,
analyticsmatches onlyanalytics. - matches regex: matches names using a regular expression. For example,
^prod_.*_v\d+$matchesprod_events_v1.
- 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.
- 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. 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:- In the left navigation, click Connections and select your service.
- Click the Agents tab.
-
Click Add Agent and select Metadata from the dropdown.
For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
-
On the Configure Ingestion page, do the following and click Next.
-
Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.

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

-
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.

-
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.

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

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

- 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.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 withREVOKE CURRENT GRANTScan 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
Sensitivetag to a column in Collate, the corresponding masking policy will be automatically applied to that column in Snowflake. -
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:
MODIFYon the database - Schema description:
MODIFYon the schema - Table, view or column description:
OWNERSHIPof the object - Tags:
CREATE TAGon the schema, plusAPPLY TAGon the account - Reading existing tags: the
SNOWFLAKE.GOVERNANCE_VIEWERdatabase role
Note: Descriptions requireOWNERSHIPof the object. Snowflake only permitsALTER TABLE/VIEW ... SET COMMENTto the owning role.Tags on objects the role already owns work withoutAPPLY TAG. The account-levelAPPLY TAGprivilege is only needed to tag objects the role does not own. - Database description:
Troubleshooting
Snowflake Troubleshooting
Learn more about how to troubleshoot common Snowflake connector issues and resolve configuration or ingestion errors.