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# Oracle AI Database@Google Cloud: What's new at Oracle AI World

**[Google Cloud](https://daily.dev/sources/gcp)** · 8 min read · 0 upvotes · 0 comments

## Summary

Google Cloud and Oracle announced several Oracle AI Database@Google Cloud updates at Oracle AI World. The Remote MCP Server for Oracle, backed by an IAM-governed ExecuteSQL Data API, is now generally available, letting AI agents run SQL without plaintext passwords or bastion VMs. A new Gemini connector lets users query Oracle databases in natural language inside the Gemini app, and BigQuery query federation with Oracle (preview) lets BigQuery run native Oracle SQL via an EXTERNAL_QUERY function. A bi-directional Iceberg lakehouse integration (preview) lets Oracle and the borderless Lakehouse read and write shared tables without ETL. New regions launched in Turin and Queretaro, and Oracle plans to pursue FedRAMP High certification.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cloud.google.com/blog/products/databases/oracle-ai-databasegoogle-cloud-whats-new-at-oracle-ai-world>

## Questions this post answers

### What does the Remote MCP Server for Oracle databases on Google Cloud do?

It is a generally available Model Context Protocol server, powered by an IAM-governed ExecuteSQL Data API, that lets AI agents, Google Cloud services, and enterprise applications securely run SQL against Oracle databases. It resolves credentials automatically through Secret Manager and enforces Google Cloud IAM policies, removing the need for custom natural-language-to-SQL middleware, bastion VMs, or plaintext passwords.

_Teams wiring AI agents into Oracle databases can track MCP tooling changes like this on daily.dev._

### How can I query live Oracle data directly from BigQuery without copying it?

BigQuery query federation with Oracle, currently in preview, uses the EXTERNAL_QUERY function to run native Oracle SQL directly from BigQuery queries, dashboards, and pipelines, joining live transactional records with BigQuery datasets without ETL or duplicate storage. It targets use cases like intraday risk reporting and live fraud detection while lowering total cost of ownership.

_Data engineers weighing federation versus replication for Oracle-to-BigQuery pipelines can follow updates like this on daily.dev._

### Can Oracle Autonomous Database and BigQuery write to the same Apache Iceberg tables?

Yes, through the preview feature 'Oracle Access to Google Cloud borderless Lakehouse,' Oracle Autonomous AI Database and Google's borderless Lakehouse (powered by BigQuery and Managed Spark) can both query and execute write and DML operations on shared Apache Iceberg tables stored in Google Cloud Storage, using a Lakehouse runtime REST catalog integrated via DBMS_CATALOG, eliminating ETL or replication.

_Architects evaluating multi-cloud Iceberg lakehouse setups can keep up with integrations like this on daily.dev._

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---

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

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