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title: New BigQuery Data Transfer Service Capabilities | daily.dev
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# New BigQuery Data Transfer Service Capabilities

**[Google Cloud](https://daily.dev/sources/gcp)** · 5 min read · 0 upvotes · 0 comments

## Summary

BigQuery Data Transfer Service (DTS) has expanded its connector ecosystem with several new integrations and capabilities. New additions include direct ingestion into Apache Iceberg managed tables (Preview), a fully managed remote MCP Server for AI agent integration (Preview), Microsoft SQL Server support (Preview), and GA releases for PostgreSQL and MySQL. E-commerce connectors for Shopify, Klaviyo, HubSpot, and Mailchimp are now in Preview, while Snowflake migration support has reached GA. Existing connectors for ServiceNow, Salesforce, and Oracle gain native incremental update support. Cost highlights include zero ingestion fees for major Google sources and Amazon S3/Azure Blob Storage, with third-party SaaS priced at under $0.06 per slot-hour. The service offers 99.99% monthly uptime SLA and native Cloud IAM integration with Column-Level Security, Row-Level Security, and CMEK support.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cloud.google.com/blog/products/data-analytics/new-bigquery-data-transfer-service-capabilities>

## Questions this post answers

### What is the pricing for BigQuery Data Transfer Service for third-party SaaS sources?

Third-party SaaS ingestion via BigQuery Data Transfer Service runs on a consumption-based model at less than $0.06 per slot-hour in major regions. Pricing scales with compute footprint rather than row volume. First-party Google sources (Google Ads, GA4, YouTube, GCS) and cloud storage sources like Amazon S3 and Azure Blob Storage are ingested at no charge.

_Teams budgeting for data pipeline costs track BigQuery pricing changes like these on daily.dev._

### Does BigQuery Data Transfer Service support PostgreSQL and MySQL replication from on-premise environments?

Yes, PostgreSQL and MySQL connectors are generally available in BigQuery Data Transfer Service and support both full and incremental transfers. They handle replication from on-premise environments, Cloud SQL, and other clouds, automating delivery of high-volume web and application workloads into BigQuery within minutes.

_Engineers migrating databases to BigQuery find connector GA announcements like this on daily.dev._

### Can BigQuery Data Transfer Service ingest data directly into Apache Iceberg managed tables?

Yes, in Preview, BigQuery DTS supports direct ingestion into Apache Iceberg managed tables from Google Cloud Storage, Amazon S3, and Azure Blob Storage. This maintains multi-cloud storage cross-compatibility with other query engines while leveraging BigQuery's performance tuning capabilities.

_Data engineers evaluating open lakehouse architectures follow Iceberg integration news on daily.dev._

## Similar posts on daily.dev

- [BigQuery Data Transfer Service enhancements](https://daily.dev/posts/bigquery-data-transfer-service-enhancements-crvkhi3jt) · Google Cloud · 0 upvotes · 0 comments
- [Google Cloud Introduces Cross-Engine Iceberg Support in BigQuery](https://daily.dev/posts/google-cloud-introduces-cross-engine-iceberg-support-in-bigquery-iuk5rijpt) · InfoQ · 0 upvotes · 1 comments
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---

Tags: [#gcp](https://daily.dev/tags/gcp), [#data-engineering](https://daily.dev/tags/data-engineering), [#google-bigquery](https://daily.dev/tags/google-bigquery), [#etl](https://daily.dev/tags/etl), [#apache-iceberg](https://daily.dev/tags/apache-iceberg)

[View this post on daily.dev](https://daily.dev/posts/new-bigquery-data-transfer-service-capabilities-r6fszvjbc)

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