Oracle unveils natural language data queries with Google Cloud

By Joshua Gliddon on May 6, 2026 4:42PM
Oracle unveils natural language data queries with Google Cloud
Nathan Thomas, Oracle.
Supplied

Oracle has expanded its partnership with Google Cloud to give joint customers new ways to operationalise AI across enterprise data.

The Oracle AI Database Agent, now available in the Google Cloud Marketplace, allows Gemini Enterprise customers to use natural language when interacting with their Oracle data, while drawing on the in-database AI capabilities of Oracle AI Database to deliver answers.

Customers can ask everyday business questions - such as analysing revenue trends across regions and product lines - and receive data-driven answers without writing SQL or building custom tools.

The agent interprets each request, queries relevant, governed Oracle data, and delivers insights without moving or duplicating data.

In addition, the Oracle AI Database Agent also enables developers to securely use Oracle data in more advanced AI workflows by allowing them to connect it with other AI tools in Google’s Gemini Enterprise Agent Platform to automate tasks such as data extraction, analysis, and visualisation.

New database capabilities and additional regions are also providing customers with more options and locations to use Oracle AI Database@Google Cloud.

Oracle Cloud Infrastructure (OCI) GoldenGate enables real-time Oracle database migration, enables customers to simplify migrations of Oracle databases to Oracle AI Database@Google Cloud and implement high-availability solutions through real-time, low-impact data movement.

In addition, the service integrates with Google BigQuery for near real-time analytics, eliminating latency between operational and analytical systems.

Oracle Autonomous AI Lakehouse integration with Google BigQuery enables customers to access and analyse open-format data stored in Google Cloud Lakehouse by allowing Oracle Autonomous AI Lakehouse to directly read BigQuery Iceberg tables without data duplication.

This intends to help customers build a unified lakehouse architecture that supports analytics and AI workloads across Oracle and Google Cloud while reducing data movement and associated costs.

Oracle AI Database@Google Cloud is now available in 15 regions, including Australia-Southeast 1 (Sydney) and Australia-Southeast 2 (Melbourne). Additional regional availability is planned within the next 12 months in Europe-West 12 (Turin) and North America-South 1 (Mexico).

“We’re making it easier for customers to use natural language to access, understand, and act on enterprise data by combining the Gemini Enterprise experience with Oracle’s industry-leading database performance, security, and governance,” said Nathan Thomas, senior vice president, product management at Oracle Cloud Infrastructure.

“By applying AI directly to enterprise data at the database layer, customers can improve accuracy, strengthen controls, and use models more efficiently without exposing sensitive data or adding complexity. Together, we’re making it easier for our customers to power agentic AI with trusted business data."

“To deliver real impact from agentic AI, customers need a simple, trusted way to interact with their valuable business data using intelligent agents such as the Oracle AI Database Agent,” said Satish Thomas, vice president, applied AI and platform ecosystem at Google Cloud.

“By making this agent accessible through Gemini Enterprise, we’re giving customers greater flexibility to apply AI to data stored in Oracle databases and turn that data into meaningful business value,” Thomas said.

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