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The world’s most innovative companies choose Hightouch as their Composable CDP

Spotify.
Warner Music Group.
PetSmart.
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Ramp.
Calendly.
GitLab.
Grammarly.
Spotify.
Aritzia.
Warner Music Group.
PetSmart.
Tripadvisor.
GameStop.
Cars.com.
WeightWatchers.
Iterable.
Ramp.
Plaid.
Calendly.
GitLab.
Malwarebytes.
Greenhouse.
Grammarly.

Get data out of BigQuery. Fast.

You've spent time getting data into BigQuery, modeling it for analytics, and paying to store it. Why do that again with a traditional CDP? With Hightouch, you can activate your BigQuery data in less than 5 minutes. You no longer have to worry about storing your data with a 3rd party, complex CDP implementations, or having multiple data silos.

What methods can I use to model my BigQuery data?

  • Semi-opaque, open dropdown with three example dbt model names such as 'dbt.model.name.1'.

    dbt model selector

    Sync directly with your dbt models saved in a git repository.

  • Semi-opaque open dropdown with three example Look names such as 'Look 1'.

    Looker

    Query using Looks. Hightouch turns your look into SQL and will pull from your source.

  • SQL editor.

    SQL editor

    Create and Edit SQL from your browser. Hightouch supports SQL native to BigQuery.

  • Semi-opaque open dropdown with three example workbook names such as 'Workbook 1'.

    Sigma model

    Hightouch converts your Sigma workbook element into a SQL query that runs directly on BigQuery.

  • Semi-opaque open dropdown with three example table names such as 'schema.table.name.1'.

    Table selector

    Select available tables and sheets from BigQuery and sync using existing views without having to write SQL.

  • Visual query builder reading 'All rows that...' with a button labeled 'select a property'.

    Customer Studio

    For less technical users, pass traits and audiences from BigQuery using our visual segmentation builder.

All 200+ BigQuery integrations

BigQuery to Acoustic
Chaotic graph of interconnected nodes representing data warehouses, data, and business tools.

Before Hightouch

  • Inconsistent and inaccurate data
  • Laborious and expensive
  • Brittle and inflexible
Clean and easily readable graph of data moving from a warehouse node, to Hightouch, to business tools.

After Hightouch

  • Consistent and accurate
  • Observable and governed
  • Scalable and flexible