{"id":105702,"date":"2026-05-13T14:20:01","date_gmt":"2026-05-13T10:20:01","guid":{"rendered":"https:\/\/techxmedia.com\/en\/?p=105702"},"modified":"2026-05-13T14:20:02","modified_gmt":"2026-05-13T10:20:02","slug":"oracle-ai-database-expands-with-google-cloud-ai","status":"publish","type":"post","link":"https:\/\/techxmedia.com\/en\/oracle-ai-database-expands-with-google-cloud-ai\/","title":{"rendered":"Oracle AI Database expands with Google Cloud AI"},"content":{"rendered":"\n

Oracle<\/a> has expanded its partnership with Google Cloud to help joint customers operationalize AI across enterprise data using Oracle AI Database.<\/p>\n\n\n\n

Under the expanded collaboration, the Oracle AI Database Agent for Gemini Enterprise gives Oracle AI Database@Google Cloud customers a simpler way to interact with their data using natural language. In addition, Oracle AI Database@Google Cloud now includes new capabilities and broader regional availability. As a result, global organizations such as Worldline are using it to accelerate innovation and cloud migrations.<\/p>\n\n\n\n

According to Nathan Thomas, senior vice president of product management at Oracle Cloud Infrastructure, the integration combines Gemini Enterprise with Oracle\u2019s database performance, security, and governance. He said this approach allows customers to apply AI directly at the database layer. Consequently, organizations can improve accuracy, strengthen controls, and use models more efficiently without exposing sensitive data or increasing complexity.<\/p>\n\n\n\n

Meanwhile, Satish Thomas, vice president of applied AI and platform ecosystem at Google Cloud, stated that customers need a simple and trusted way to interact with business data to achieve real impact from agentic AI. He added that making the Oracle AI Database Agent accessible through Gemini Enterprise provides greater flexibility to turn enterprise data into meaningful business value.<\/p>\n\n\n\n

The Oracle<\/a> AI Database Agent, now available in the Google Cloud Marketplace, enables users to query Oracle data using natural language. Instead of writing SQL or building custom tools, customers can ask business questions and receive context-aware, data-driven answers. For example, they can analyze revenue trends across regions and product lines and adjust pricing or sales strategies accordingly. At the same time, the agent ensures that data remains governed and is not moved or duplicated.<\/p>\n\n\n\n

In addition, developers can use the agent to integrate Oracle data into advanced AI workflows. By connecting with tools in the Gemini Enterprise Agent Platform, they can automate tasks such as data extraction, analysis, and visualization.<\/p>\n\n\n\n

Furthermore, AI Shift is leveraging Oracle Autonomous AI Database on OCI to power its agent development platform. The company plans to use the Oracle AI Database Agent to expand deployments to Oracle AI Database@Google Cloud. CEO Yuto Yoneyama noted that the shift from SQL queries to natural language helps improve development speed, enhance results, and support faster decision-making while maintaining governance.<\/p>\n\n\n\n

At the same time, organizations like Worldline are adopting Oracle AI Database@Google Cloud to modernize critical systems. The company uses Oracle Exadata Database Service to support payment processing requirements, including low latency, high throughput, and strong security. According to Arni Smit, director of software engineering at Worldline, the platform delivers scalability, resilience, and performance for real-time transaction processing at a global scale.<\/p>\n\n\n\n

Moreover, Oracle introduced new capabilities and regional expansions to meet growing demand. Oracle Cloud Infrastructure GoldenGate enables real-time database migration with low-impact data movement and supports integration with Google BigQuery for near real-time analytics. This reduces latency between operational and analytical systems.<\/p>\n\n\n\n

Additionally, Oracle Autonomous AI Lakehouse integration with Google BigQuery allows direct access to open-format data without duplication. As a result, customers can build unified lakehouse architectures that support AI and analytics workloads while reducing costs.<\/p>\n\n\n\n

Oracle AI Database@Google Cloud is now available in 15 regions, including Tokyo, Osaka, Mumbai, Delhi, Sydney, Melbourne, Milan, Frankfurt, Montreal, Toronto, S\u00e3o Paulo, London, Iowa, Ashburn, and Salt Lake City. Further expansions are planned in Turin and Mexico to support increasing global demand.<\/p>\n\n\n\n

Overall, the expanded partnership highlights how Oracle AI Database is evolving to support enterprise AI adoption with integrated cloud capabilities, enhanced data access, and secure, scalable infrastructure.<\/p>\n","protected":false},"excerpt":{"rendered":"

Oracle has expanded its partnership with Google Cloud to help […]<\/p>\n","protected":false},"author":8,"featured_media":105704,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[154,9621],"tags":[1072,1051],"contributor":[9732],"class_list":["post-105702","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud-computing","category-emerging-technologies","tag-cloud","tag-vendors","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2026\/05\/Oracle.jpg.jpeg","author_info":{"display_name":"Rabab","author_link":"https:\/\/techxmedia.com\/en\/author\/rabab\/"},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t