Query Tags

Filter, group, and attribute Snowflake query costs to the tools and pipelines that generated them using automatically extracted query tags.

Overview

Query Tags are key-value metadata that Seemore automatically extracts from your Snowflake queries. Each time a query runs, Seemore inspects the SQL comments and the Snowflake QUERY_TAG property to identify which tool or pipeline issued it and attaches structured tags to the query record.

This lets you slice cost and performance data by the tools and workflows behind your queries — without any manual labeling.

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Default Supported Tags

Seemore ships with built-in extraction for the following integrations. Tags appear in the format Integration.TagName (e.g., DBT.NodeName).

Integration	Tags
Tableau	SiteLuid, UserLuid, WorkbookLuid, WorksheetLuid, DashboardLuid, ConnectionType
Looker	UserId, InstanceSlug
Power BI	Host, HostContext, PowerQuery
ThoughtSpot	type, task, isRLSApplied, storable.type
Airflow	DagId
Hex	ProjectId, ProjectName, Status, UserEmail, Context
dbt	NodeName, NodeSchema, NodeDatabase, CloudJobId

In addition, every matched query receives a special Integration tag that identifies which tool issued it (e.g., Tableau, Looker, DBT).

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Where Query Tags Are Supported

Data Cloud — Workloads

On the Data Cloud → Workloads screen you can use query tags in two ways:

• Filter — select a tag key and one or more values in the Query Tags filter to narrow the workload view to matching queries.

Filtering workloads by query tag values

• Group by — open the Group by dropdown, switch to Tags, and select a tag key to group the cost breakdown by that tag's values.

Grouping workloads by query tag

Query History

The Query History screen includes a Query Tags filter that lets you narrow the query list to entries matching specific tag key-value pairs.

Domains

When creating or editing a Domain in Settings → Domains, you can include query tag criteria so the domain automatically filters all platform screens to queries matching those tags.

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Custom Tags & Support

If your integration is not listed above, or you use custom QUERY_TAG values on your Snowflake queries, or you embed custom metadata in SQL comments — reach out to SeeMore Data support. We can configure custom tag extraction tailored to your environment so that your tags appear alongside the built-in ones throughout the platform.

Using dbt Core? See the dbt Core integration guide for instructions on setting up the dbt-snowflake-query-tags package so Seemore can extract dbt metadata from your queries.