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Sync data from BigQuery to Batch

Connect your data from BigQuery to Batch with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.

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The world’s most innovative companies choose Hightouch

Spotify.
Warner Music Group.
PetSmart.
Ramp.
Grammarly.
Anaconda.
Dominos.
Autotrader.
Spotify.
Aritzia.
Dominos.
Nando's.
Warner Music Group.
PetSmart.
WHOOP.
Chime.
Iterable.
Docusign.
Headway.
Viking Line.
Ramp.
Grammarly.
DraftKings.
Autotrader.
Read case studies

Activate your data in 3 easy steps

An illustration showing logos of various sources connecting to destination logos.

Connect to 35+ data sources, like BigQuery, and 250+ destinations, like Batch.
An illustration showing logos of various sources connecting to destination logos.

Use SQL or select an existing dbt or Looker model.
An illustration showing a dbt users model with a SQL query.

Map your fields, set your sync schedule, and hit “Go!”
BigQuery.

Email

Batch.

Email

BigQuery.

Name

Batch.

Name

BigQuery.

Total_orders

Batch.

All_orders

BigQuery.

Last_login

Batch.

Last_login

Use cases

Sync data from BigQuery to Batch

  • Email that hits different: Deliver email campaigns that feel like they were crafted for each individual. With live data from your Data Warehouse flowing into Batch, you can trigger Emails at just the right moment—whether it’s a welcome series, a reactivation nudge, or a personalized promotion.
  • SMS that speaks to the moment: Power your SMS strategy with real-time customer insights. Trigger messages based on actions, milestones, or behaviors to create timely, relevant conversations that drive engagement.
  • Mobile & Web Push that connects: Make every push notification count. Whether it’s a personalized reminder or a high-impact promo, use fresh customer data to ensure your messages land with context and relevance.
  • In-app messaging that drives action: Deliver hyper-relevant in-app messaging campaigns powered by the freshest data from your Data Warehouse. Whether you’re onboarding new users, highlighting features, or nudging toward conversion, real-time insights ensure your messages show up at the perfect moment—right when users are most engaged.
Hightouch Audiences user interface.

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.

FAQs

There are several options to sync data between sources. You can manually build and maintain a data pipeline, use a point-to-point solution such as Zapier, or you can manually upload CSVs.

With Hightouch, you get:

  • Automation: You do not need to build and maintain custom data pipelines and you do not have to have your team do manual work
  • Simplicity: You avoid a complex web of integrations caused by point-to-point solutions by syncing data from your source
  • Speed: You can get set up in quickly - the average Hightouch customer starts syncing data in 23 minutes
  • Control: companies of all sizes have access to enterprise-level controls including observability, dbt integrations, and version control
  • Security: Hightouch never stores your data and is HIPAA, GDPR, CCPA, and SOC-2 compliant

90% of all Hightouch syncs complete in 30 seconds or less, and the platform enables non-technical users to self-serve.

With Hightouch, you can sync data as frequently as it changes within your BigQuery. You can trigger data syncs manually or schedule them to run at an interval or custom recurrence as often as once per minute.

Hightouch offers a basic mapper or advanced mapper that allows you to visually match columns from your BigQuery to fields in Batch.

BigQuery is a fully-managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Batch is a modern marketing automation platform that lets marketers personalize communication at scale for millions of users.

Yes, if you integerate BigQuery and Batch using Hightouch, in-warehouse planning is supported.

Great, but what is in-warehouse planning?

Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case Batch). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.

The issue here is this can be slow for large models.

Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this workshere.

OtherBigQuery integrations

OtherBatch integrations


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