Cost Governance of the Snowflake Connector for ServiceNow

This topic provides best practices for cost governance and finding the optimal warehouse size for the Snowflake Connector for ServiceNow.

Measuring Cost of the Connector

If the connector has a separate account only for data ingestion and storage, and the account shows no other activity (such as executing queries by users using the ingested data), you can read the overall cost on the account level. To learn more, refer to Exploring Overall Cost.

If the account is not dedicated only to the connector or you need to investigate the costs further, you should analyze the charged costs for the three components separately:

For an introduction to these three components of cost, refer to Understanding Overall Cost.

General Recommendations

To obtain cost generated by the connector, we recommend that you create a separate account solely for using the connector. This way you can track the exact data transfer generated by the connector.

If you cannot use a separate account for the connector, try the following:

  • Create a separate database for storing ingested data to track storage cost easier.

  • Allocate a warehouse only for the connector to get the exact compute cost.

  • Use object tags on databases and a warehouse to build custom cost reports.

  • If you use a serverless configuration, you can query the SERVERLESS_TASK_HISTORY view, filter on the name of the connector, and check the CREDITS_USED column to get the cost.

Compute Cost

We recommend that you create a separate warehouse only for the connector. This setup allows you to create resource monitors on the warehouse. You can use the monitors to send email alerts and suspend the warehouse, stopping the connector when the set credit quota is exceeded. The connector automatically resumes after the credit quota is renewed. Note that setting credit quota too low in configurations where large volumes of data are ingested may cause the connector to not ingest all data.

For information on how to check credits consumed by the warehouse, refer to Exploring Compute Cost. You can also assign object tags to the warehouse and use the tags to create cost reports.

If the warehouse used by the connector is used by other workflows, you can split the cost by roles. To split usage by roles, use the query for splitting warehouse usage and add the following WHERE clause on the QUERY_HISTORY view:

WAREHOUSE_NAME = '<connector warehouse name>' AND
ROLE_NAME IN ('APP_PRIMARY', <role created for the connector to ingest data>’)

The query gives only an approximation of the cost.


Only one native app may use the warehouse, otherwise costs of different applications are inseparable because each native app uses the same role name (APP_PRIMARY).

For connectors configured to use serverless tasks, you can query the SERVERLESS_TASK_HISTORY view. The view exposes CREDITS_USED and DATABASE_NAME columns, the latter of which you can use for filtering on the name of the connector.

Storage Cost

The Snowflake Connector for ServiceNow stores data in two places:

  • The connector database, which is created from the public share and which holds the connector internal state.

  • The user-specified schema where the ingested data is stored.

Data storage is also used by the Snowflake Fail-safe feature. The amount of data stored in Fail-safe depends on the table updates done by the connector. The amount of data increases if the table rows ingested from ServiceNow are updated frequently or the whole table is reloaded. Typically, seven to ten days after the connector is set up, the amount of Fail-safe data stabilizes (assuming that no reloads are performed and that the flow of ingested data is at a steady rate).

If you want to check storage usage in Snowsight, we recommend that you have a separate database for storing ingested data. This way you can filter the graphs for storage usage by object, which shows usage by separate databases. You can also do it by querying the DATABASE_STORAGE_USAGE_HISTORY view and filtering by both databases used by the connector.

If the database contains other schemas not related to the connector, you can query storage usage of a specific schema that is dedicated to the data ingested from the connector. You can get the information from TABLE_STORAGE_METRICS view after filtering by database and schema names and aggregating columns with storage usage.

Data Transfer Cost

The connector uses external functions to retrieve data from ServiceNow. Snowflake charges only for egress traffic generated by the connector, based on the size of the requests from the connector to ServiceNow. The responses from ServiceNow do not generate cost on Snowflake side.

Information on data transfer usage is available only in the aggregated form for all external functions on the account level. To access the number of transferred bytes, use the DATA_TRANSFER_HISTORY view and filter by the EXTERNAL_FUNCTION transfer type.

Determining the Optimal Warehouse Size for the Connector Instance

To find the optimal warehouse size for the connector, you should consider the factors that affect the performance of the connector, such as the size of ServiceNow instance, the number of enabled tables, and the schedule for synchronizing each table. For example, if only a few tables are enabled the connector might not benefit from increased parallelization.

We recommend that you define a set of measurable expectations, such as time intervals in which all tables should be synchronized, and pick the smallest warehouse size that meets these expectations. For large amounts of ingested data with tens of synchronized tables, the default recommendation is Large warehouse. On the other hand, when you just want to try out the connector and enable a single table for ingestion, an X-Small warehouse should be sufficient. To find out if you can downsize the warehouse, refer to Monitoring Warehouse Load.

Starting and Stopping the Connector Automatically Within a Specified Timeframe

To save on cost, you can run the connector only during a specified timeframe (for example, outside business hours), by calling the STOP_CONNECTOR and RESUME_CONNECTOR procedures.

You can automate starting and stopping the connector with serverless tasks. For example, to run the connector outside of UTC business hours, you might use the following query:

CREATE TASK start_connector_after_business_hours
   SCHEDULE USING CRON 0 17 * * MON-FRI Europe/London
   AS CALL <my_connector_servicenow>.PUBLIC.RESUME_CONNECTOR();

CREATE TASK stop_connector_before_business_hours
   SCHEDULE USING CRON 0 9 * * MON-FRI Europe/London
   AS CALL <my_connector_servicenow>.PUBLIC.STOP_CONNECTOR();