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BigQuery Data Transfer Service Adds New Connectors and Capabilities for Data Ingestion

🔄 Updated 1d ago
Aggregated by BrevFeed cloud · updated 8d ago
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Key points

  • Direct ingestion into Apache Iceberg managed tables is now in Preview.
  • A fully managed remote Model Context Protocol (MCP) Server is in Preview.
  • Microsoft SQL Server connector is in Preview; PostgreSQL and MySQL connectors are GA.
  • New connectors for Shopify, Klaviyo, and HubSpot are in Preview.

Expanded Data Ingestion Capabilities

Google Cloud has announced new capabilities for its BigQuery Data Transfer Service (DTS), focusing on expanding its ecosystem for data ingestion. These updates introduce new connectors and enhancements designed to automate data movement into BigQuery from various sources.

Open Lakehouse and AI Integration

BigQuery DTS now supports direct ingestion into Apache Iceberg managed tables in Preview, allowing data transfer from sources like Google Cloud Storage, Amazon S3, and Azure Blob Storage. Additionally, a fully managed remote Model Context Protocol (MCP) Server is available in Preview, enabling AI applications and agents to programmatically discover data sources and configure transfers.

Database and Marketing Platform Connectors

The service has added a Microsoft SQL Server connector in Preview for centralizing transactional and operational data. PostgreSQL and MySQL connectors are now Generally Available (GA), supporting data replication from on-premise, CloudSQL, and other cloud environments. New connectors for e-commerce and growth marketing platforms, including Shopify, Klaviyo, and HubSpot, are also in Preview, facilitating the extraction of order histories, engagement logs, and marketing metrics.

Impact on Data Management

These additions aim to simplify the process of integrating data from disparate systems into BigQuery. By offering more direct and automated transfer options, BigQuery DTS seeks to reduce the need for custom ETL pipelines and manual data management, allowing users to focus on data analysis and strategic initiatives.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

Google Cloud Blog — Zero-code, low-cost data ingestion: New BigQuery DTS capabilities 8d ago →

Google Cloud's BigQuery Data Transfer Service (DTS) has expanded its data ingestion capabilities with new connectors and features, including direct ingestion into Apache Iceberg tables, a managed Model Context Protocol (MCP) Server, and support for additional databases and marketing platforms. These updates aim to reduce the effort required for data movement into BigQuery, allowing users to integrate more diverse data sources with less manual setup.