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Warehouses & Databases

BigQuery integration

Point Verity at the BigQuery datasets you already have. Your data stays in your warehouse.

Connect your own BigQuery project and Verity queries your datasets in place, without copying data. It scans the tables you choose and proposes a semantic layer: the entities, metrics, and dimensions your team can then ask about.

BigQuery can also be a destination: export segments built in Verity back to a table in your own project.

Role

Source and destination

Data location

Stays in your BigQuery project

Access

Read access to the datasets you choose

What you get

What Verity does with BigQuery

Query in place

Verity runs queries against your datasets, so there is no copy to keep in sync.

Semantic discovery

Verity proposes metrics and dimensions from your tables. You review and approve them.

Segment export

Write segments back to your own BigQuery project.

Ask Verity

Questions you can ask

What are the main metrics in our orders table, and how did they move last month?

Which customer segments grew fastest this quarter?

Related

Works well alongside

See Verity on your BigQuery data

Book a demo and we connect your sources together, so you see your own numbers in the semantic layer on day one.

Contact sales