Table of Contents

Integrate.io offers 150+ connectors with robust Google BigQuery integration capabilities, providing data teams with comprehensive ETL, ELT, CDC, and Reverse ETL functionality. This guide explores the top 15 BigQuery connectors available on the platform, covering scenarios where BigQuery serves as both a data source and destination for modern cloud analytics and data warehousing.

1. Salesforce to BigQuery

Transform your Salesforce CRM data into actionable insights with this powerful cloud data warehouse integration.

Key Technical Features:

2. MySQL to BigQuery

Migrate MySQL databases to BigQuery for modern analytics and reporting with continuous replication capabilities.

Key Technical Features:

  • Data Flow: MySQL → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • CDC Method: MySQL Binlog for real-time replication

  • Version Support: MySQL 5.6+ and MariaDB compatibility

  • Connection Types: Direct JDBC and SSH tunnel support

  • Schema Mapping: Automatic data type conversion and evolution

  • Incremental Loading: Timestamp and binlog-based synchronization

  • Performance: Multi-threaded extraction with connection pooling

  • Data Integrity: ACID compliance maintained during replication

  • Error Handling: Configurable error tolerance with detailed logging

3. PostgreSQL to BigQuery

Seamlessly transfer PostgreSQL data to BigQuery with enterprise-grade reliability and performance optimization for analytical workloads.

Key Technical Features:

  • Data Flow: PostgreSQL → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • CDC Method: Write-Ahead Log (WAL) for real-time updates

  • Version Support: PostgreSQL 9.6+ compatibility

  • Data Types: Complex type handling (JSON, arrays, custom types)

  • Connection Security: SSL/TLS encryption with certificate validation

  • Schema Evolution: Automatic handling of schema changes

  • Replication Slots: Logical replication for minimal source impact

  • Performance: Parallel extraction with configurable thread counts

  • Query Optimization: Cost-based optimization for large datasets

4. Google Cloud Storage to BigQuery

Efficiently load data from GCS into BigQuery using native integration and optimized performance.

Key Technical Features:

  • Data Flow: Google Cloud Storage → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • File Formats: CSV, JSON, Parquet, Avro, ORC support

  • Google Integration: Native IAM roles and bucket permissions

  • Load Optimization: Automatic file partitioning and parallel loading

  • Compression: GZIP, BZIP2, Snappy, and LZO support

  • Schema Detection: Automatic column inference and mapping

  • Performance: Leverages BigQuery's native batch loading capabilities

  • Error Handling: Comprehensive load job monitoring and debugging

  • Security: End-to-end encryption with KMS integration

5. MongoDB to BigQuery

Bridge NoSQL MongoDB collections with structured BigQuery analytics through intelligent schema mapping and transformation.

Key Technical Features:

  • Data Flow: MongoDB → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • Connection Methods: Direct connection and MongoDB Atlas support

  • Authentication: SCRAM-SHA-256 and X.509 certificates

  • Schema Flattening: Automatic JSON document to table conversion

  • Change Streams: Real-time CDC using MongoDB change streams

  • Data Types: Intelligent mapping of MongoDB to BigQuery types

  • Performance: Parallel collection processing optimization

  • Query Filtering: MongoDB aggregation pipeline support

  • Custom Fields: Full support for nested document structures

6. Google Ads to BigQuery

Import Google Ads campaign performance data into BigQuery for comprehensive marketing analytics and ROI analysis.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/google-adwords/google-big-query/

  • Data Flow: Google Ads → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • API Version: Latest Google Ads API with automatic version updates

  • Authentication: OAuth 2.0 with refresh token management

  • Report Types: Campaign, ad group, keyword, and conversion reports

  • Attribution: Multi-touch and data-driven attribution support

  • Currency Support: Multi-currency conversion and reporting

  • Scheduling: Automated daily, hourly, or custom sync intervals

  • Performance: Automatic quota management and rate limiting

7. HubSpot to BigQuery

Transfer HubSpot CRM and marketing data to BigQuery for advanced lead scoring and sales analytics.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/hubspot/google-big-query/

  • Data Flow: HubSpot → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • API Access: HubSpot API v3 integration

  • Object Support: Contacts, companies, deals, tickets, activities, custom objects

  • Custom Properties: Full custom field and property support

  • Timeline Events: Complete engagement history tracking

  • Incremental Sync: Timestamp-based incremental updates

  • Association Handling: Relationship mapping between objects

  • Performance: Batch processing with intelligent API management

8. BigQuery to Snowflake

Enable cross-cloud analytics by replicating BigQuery data to Snowflake for multi-cloud strategies.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/google-big-query/snowflake/

  • Data Flow: Google BigQuery → Snowflake

  • Directionality: One-way (BigQuery → Destination)

  • Data Transfer: GCS-based staging for optimal performance

  • Authentication: Service account keys and Snowflake key-pair auth

  • Format Support: Parquet and Avro for efficient transfer

  • Schema Mapping: Automatic data type conversion

  • Incremental Sync: Timestamp-based and CDC-driven updates

  • Cost Optimization: Intelligent scheduling to minimize compute costs

  • Performance: Parallel processing with configurable thread counts

9. Amazon RDS to BigQuery

Migrate Amazon RDS databases to BigQuery for unified cloud analytics across AWS and GCP.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/amazon-rds/google-big-query/

  • Data Flow: Amazon RDS → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • Database Support: MySQL, PostgreSQL, Oracle, SQL Server engines

  • Connection: VPC peering and secure tunnel options

  • CDC Support: Engine-specific change capture methods

  • Schema Conversion: Automatic DDL translation

  • Performance: Parallel table extraction

  • Cross-Region: Support for cross-region data transfer

  • Monitoring: Real-time replication status and error reporting

10. BigQuery to Salesforce

Enrich Salesforce CRM with analytical insights from BigQuery through Reverse ETL capabilities. Learn more about it here: https://www.integrate.io/solutions/reverse-etl/

Key Technical Features:

  • Data Flow: Google BigQuery → Salesforce

  • Directionality: One-way (BigQuery → Destination)

  • Reverse flow: #1 Salesforce → Google BigQuery

  • Operations: Insert, update, upsert, delete operations

  • API Support: Bulk API 2.0 for high-volume loads

  • Field Mapping: Manual and automatic field mapping

  • Error Handling: Row-level error reporting

  • Scheduling: Cron-based and event-driven triggers

  • Data Quality: Built-in validation and cleansing rules

  • Performance: Batch processing with intelligent API management

  • Authentication: OAuth 2.0 with secure token management

11. Google Analytics to BigQuery

Stream Google Analytics web and app data directly to BigQuery for advanced behavioral analytics.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/google-analytics/google-big-query/

  • Data Flow: Google Analytics → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • GA4 Support: Full Google Analytics 4 integration

  • Data Export: Raw event-level data streaming

  • Real-time Processing: Near real-time data availability

  • Custom Dimensions: Full custom parameter support

  • E-commerce Tracking: Enhanced e-commerce data capture

  • User Properties: Complete user attribute tracking

  • Performance: Automated data freshness and quality monitoring

12. Stripe to BigQuery

Extract payment and subscription data from Stripe for comprehensive revenue analytics in BigQuery.

Key Technical Features:

  • Data Flow: Stripe → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • API Support: Latest Stripe API version

  • Data Objects: Payments, subscriptions, customers, invoices, refunds

  • Webhook Support: Real-time event processing

  • Multi-Account: Stripe Connect support

  • Currency Handling: Multi-currency transaction processing

  • PCI Compliance: Tokenized sensitive data handling

  • Performance: Batch processing with intelligent API management

  • Error Recovery: Automatic retry with exponential backoff

13. NetSuite to BigQuery

Synchronize NetSuite ERP data with BigQuery for comprehensive business intelligence and financial analytics.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/netsuite/google-big-query/

  • Data Flow: NetSuite → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • API Protocol: SuiteTalk SOAP and REST APIs

  • Record Types: Customers, orders, invoices, inventory, custom records

  • Saved Searches: Support for NetSuite saved search results

  • Custom Fields: Full customization support

  • Subsidiary Support: Multi-subsidiary data consolidation

  • Performance: Concurrent request optimization

  • Authentication: Token-based authentication with role management

14. BigQuery to Elasticsearch

Export BigQuery analytical results to Elasticsearch for real-time search and visualization.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/google-big-query/elasticsearch/

  • Data Flow: Google BigQuery → Elasticsearch

  • Directionality: One-way (BigQuery → Destination)

  • Index Management: Automatic index creation and mapping

  • Document Types: Support for nested and denormalized structures

  • Bulk Operations: Optimized bulk indexing

  • Version Support: Elasticsearch 7.x and 8.x compatibility

  • Security: TLS encryption and authentication support

  • Performance: Configurable batch sizes and parallelism

  • Monitoring: Real-time indexing status and error reporting

15. RESTful API to BigQuery

Connect any RESTful API to BigQuery for custom data integration scenarios.

Key Technical Features:

  • Direct URL: https://www.integrate.io/integrations/restful/google-big-query/

  • Data Flow: RESTful API → Google BigQuery

  • Directionality: One-way (Source → BigQuery)

  • Authentication: OAuth 2.0, API keys, Basic auth, Bearer tokens

  • Data Formats: JSON, XML, CSV parsing support

  • Pagination: Automatic handling of paginated responses

  • Rate Limiting: Intelligent throttling and retry logic

  • Custom Headers: Full header customization

  • Webhook Support: Event-driven data capture capabilities

  • Performance: Configurable batch sizes and parallel processing

Platform-Wide BigQuery Features

Integrate.io's BigQuery connectors share these enterprise-grade capabilities:

Security & Compliance:

  • SOC 2 compliant (latest report available to customers under NDA)

  • End-to-end encryption for data in transit and at rest

  • GDPR and CCPA support 

  • HIPAA-support 

  • Service account authentication with granular IAM controls

Performance & Scalability:

  • Auto-scaling infrastructure supporting petabyte-scale datasets

  • Parallel processing with configurable worker threads

  • Intelligent batch sizing based on data volume

  • Optimized usage of BigQuery's Storage Write API

Monitoring & Management:

  • Real-time pipeline monitoring with custom alerting

  • Comprehensive error handling and retry mechanisms

  • Data quality validation and anomaly detection

  • Complete audit logging and data lineage tracking

Developer Features:

  • No-code visual pipeline builder

  • REST API for programmatic management

  • Git integration for version control

  • Webhook notifications for event-driven workflows

Getting Started Resources

Documentation:

Webinars & Learning:

Pricing & Trial:

Conclusion

Integrate.io's comprehensive BigQuery connector ecosystem enables organizations to build sophisticated cloud analytics solutions without extensive technical overhead. From traditional databases to modern SaaS applications, these connectors handle the complexities of bidirectional data integration while maintaining enterprise-grade security and performance standards. The platform's no-code approach, combined with advanced features like CDC, intelligent schema mapping, and automated optimization, empowers data teams to focus on insights rather than infrastructure maintenance.

Ready to accelerate your BigQuery data integration? Start your 14-day free trial and experience the power of automated, scalable ETL with Integrate.io's proven connector technology. Explore the complete integration catalog to discover all available data sources and destinations for your BigQuery workflows.