What Is the BigQuery Data Transfer Service?
The BigQuery Data Transfer Service moves data from external sources into BigQuery on a scheduled, managed basis. You define a transfer configuration and the service loads the data on a regular cadence, without you writing and operating pipeline code.
The service is a multi-regional resource with location-specific transfer configurations. Beyond loading data, it also manages dataset copies and scheduled queries.
Core Capabilities
- Scheduled, managed ingestion without custom pipeline code
- Backfills to recover from outages or gaps
- Management through the console, the bq command-line tool, and the API
- Dataset copies and scheduled queries in addition to plain loading
- Broad source coverage across SaaS applications, marketing platforms, payment services, databases, storage, and Google services
Typical Use Cases
Marketing reporting: Recurring ingestion from Google Ads, Google Analytics 4, Display & Video 360, Facebook Ads, or HubSpot into BigQuery.
Multi-cloud analytics: Ingesting data from Amazon S3 or Azure Blob Storage into a central BigQuery warehouse.
Data warehouse migration: Moving data from Amazon Redshift or Teradata.
Operational systems: Connecting SaaS applications such as Salesforce or ServiceNow and payment services such as PayPal, Stripe, or Shopify.
Benefits
- No dedicated pipeline infrastructure for recurring loads
- Broad source coverage without custom development
- Backfills for handling outages
- Management via console, CLI, or API
- Billed through standard BigQuery pricing
Working with innFactory
As a certified Google Cloud Partner, innFactory supports you with the BigQuery Data Transfer Service:
- Source assessment: determining which of your source systems the service covers and where complementary methods are needed
- Setup: building transfer configurations including location choice and scheduling
- Data modeling: shaping ingested data in BigQuery for reporting and analysis
- Operations: monitoring transfers, handling backfills, and controlling cost
Get in touch for a consultation on the BigQuery Data Transfer Service and data platforms on Google Cloud.
Typical Use Cases
Technical Specifications
Frequently Asked Questions
What is the BigQuery Data Transfer Service?
The BigQuery Data Transfer Service automates data movement into BigQuery on a scheduled, managed basis. Setting it up does not require code.
Which sources are supported?
The documentation lists SaaS applications such as Salesforce and ServiceNow, marketing platforms such as Facebook Ads, HubSpot, Mailchimp, and Klaviyo, payment services such as PayPal, Stripe, and Shopify, databases such as MySQL, PostgreSQL, Oracle, Amazon Redshift, and Teradata, storage such as Cloud Storage, Amazon S3, and Azure Blob Storage, and Google services such as Google Ads, Google Analytics 4, YouTube, Google Ad Manager, and Display & Video 360.
How do I manage transfers?
Transfers can be managed through the Google Cloud console, the bq command-line tool, or the BigQuery Data Transfer Service API.
What happens if a source has an outage?
The service supports data backfills to recover from outages or gaps in ingestion.
Can the service do more than load data?
Yes. Beyond loading data, it also handles dataset copies and scheduled queries.
What does the BigQuery Data Transfer Service cost?
Standard BigQuery storage and query pricing applies to transferred data. Current terms are on the official BigQuery pricing page.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.
