DataGlue
BigQuery integration

BigQuery, joined, in and out.

DataGlue marries BigQuery data with your other systems and sends outcomes back. Every number shows its formula and its records.

BigQuery: Google Cloud's serverless data warehouse.

  • IN + OUT
  • NO NATIVE CONNECTOR · YOUR WAREHOUSE OR DATABASE

Bring BigQuery and one decision to the call. Tool names are enough; no access needed.

Trusted by

  • Ticketek
  • me&u
  • InvestorKit
  • Team Global Express
FIG. 01 · HOW BIGQUERY CONNECTS
BigQuery
THE GLUEONE MODEL
OUTCOMES, ANY DESTINATION
  • Your warehouse or databaseIN + OUT
  • REST APIIN + OUT
  • File exportIN + OUT
HOW IT CONNECTS

What moves between BigQuery and DataGlue. Warehouse tables such as ad spend, analytics exports and CRM facts come in. Outcomes can go out.

  • IN + OUT

    Your warehouse or database

    Today our database connection speaks Postgres. Tables in BigQuery reach DataGlue through a sync you run into Postgres, or through our REST API, with the route mapped in the build. Outcomes and evidence streams land in Postgres first, and the same sync copies them into BigQuery for the rest of your stack.

  • IN + OUT

    REST API

    INBigQuery records are sent to our REST API with a scoped key, as events and linked ids on the same person. The calls are set up in the build.

    OUTPeople, sessions, events and conversions are read from our REST API with a scoped key and written into BigQuery.

  • IN + OUT

    File export

    INExport a CSV from BigQuery and import it. Each row keeps its own id, so a re-upload updates the same people and adds no duplicates. Recurring drops are agreed in the build.

    OUTSessions, events, identity links and outcome tables export as files on request, ready to load into BigQuery.

There is no native BigQuery connector today; the routes above are how it joins. Connections are agreed in the build. We check the source data, consent and identifiers before promising a linked journey. BigQuery is a trademark of its owner; this page implies no partnership or endorsement.

WHAT DATAGLUE DOES WITH IT

Describe the outcome. DataGlue works it out and shows you the formula.

  1. 01

    Describe the outcome you want in plain words, such as "Spend to signed".

  2. 02

    DataGlue works it out from the definitions of your data sources, BigQuery included, and shows the formula in concise English.

  3. 03

    Send it on: to reports, BI tools, any destination, or the AI tools your team already uses.

  • EXAMPLE OUTCOME 01

    Spend to signed

    THE FORMULA

    Ad spend tables joined to signed deals, by campaign and month.

  • EXAMPLE OUTCOME 02

    Analytics export reconciled

    THE FORMULA

    Analytics event exports matched to people DataGlue already knows.

Want one of these from your BigQuery data? We map the route and the first outcome on the call.

Book a Call
START WITH ONE DECISION

Bring BigQuery and one decision. We'll map the route and the first outcome on the call.

The call scopes fit. The build is a separate engagement, priced before work begins.