STOCK TITAN

Oracle Expands Powerful AI Capabilities in Oracle AI Database@Google Cloud to Supercharge Enterprise Data Innovation

Rhea-AI Impact
(Neutral)
Rhea-AI Sentiment
(Very Positive)
Tags
AI

Oracle (ORCL) expanded Oracle AI Database@Google Cloud with the Oracle AI Database Agent for Gemini Enterprise, broader regional availability, OCI GoldenGate real‑time migration, and Autonomous AI Lakehouse integration with Google BigQuery.

Customers including Worldline and AI Shift are using these capabilities to speed cloud migrations, enable natural‑language data access, and apply agentic AI to governed enterprise data.

Loading...
Loading translation...

Positive

  • Available in 15 regions, with two more planned within 12 months
  • Oracle AI Database Agent available in Google Cloud Marketplace for Gemini Enterprise
  • OCI GoldenGate enables near real‑time Oracle database migrations and BigQuery integration
  • Autonomous AI Lakehouse can directly read BigQuery Iceberg tables (no data duplication)
  • Worldline uses Exadata on Oracle AI Database@Google Cloud for low‑latency payment processing

Negative

  • None.

Key Figures

Current price: $181.17 Daily move: 2.02% Trading volume: 38,430,500 shares +5 more
8 metrics
Current price $181.17 Pre-news trading level for ORCL
Daily move 2.02% 24h price change before this AI database news
Trading volume 38,430,500 shares Today vs 20-day average of 28,908,404 shares
52-week range $121.235 – $345.72 ORCL trades 47.6% below high, 49.44% above low
Regions live 15 regions Oracle AI Database@Google Cloud regional availability list
Planned new regions 2 regions Turin and Mexico planned within the next 12 months
Timeframe 12 months Additional regional availability planned in next 12 months
Transactions processed Billions Worldline payment transactions handled on Oracle AI Database@Google Cloud

Market Reality Check

Price: $181.17 Vol: Volume 38,430,500 vs 20-d...
normal vol
$181.17 Last Close
Volume Volume 38,430,500 vs 20-day average 28,908,404 (relative volume 1.33x) ahead of this AI partnership news. normal
Technical Shares at 181.17 are trading below the 200-day MA of 214.83, about 47.6% under the 52-week high and 49.44% above the 52-week low.

Peers on Argus

ORCL was up 2.02% pre-release while peers showed mixed moves: NTAP +4.61%, PANW ...

ORCL was up 2.02% pre-release while peers showed mixed moves: NTAP +4.61%, PANW +2.68%, MSFT +0.93%, FFIV +0.21%, and PLTR -0.57%. This pattern suggests the Oracle–Google Cloud AI database expansion was more company-specific than a uniform sector swing.

Common Catalyst Multiple peers, notably NTAP and PLTR, also reported partnership-focused headlines, including collaborations with Google Cloud and other large customers, pointing to a broader AI and cloud partnership theme.

Previous AI Reports

5 past events · Latest: Apr 14 (Positive)
Same Type Pattern 5 events
Date Event Sentiment Move Catalyst
Apr 14 AI banking platform Positive +4.7% Extended agentic AI platform into corporate banking with embedded agents and apps.
Apr 14 AI project tools Positive +4.7% Announced AI enhancements to Primavera Unifier for integrations and audit transparency.
Apr 13 AI utilities suite Positive +12.7% Unveiled AI upgrades for utilities to cut costs and improve reliability and outcomes.
Apr 09 AI DB availability Positive -4.0% Introduced Oracle AI Database 26ai with new high-availability and security tiers.
Apr 09 AI compliance tools Positive -4.0% Added Lucinity-powered AI agents to financial crime and compliance portfolio.
Pattern Detected

Recent AI-tagged announcements often triggered sizable moves for ORCL, with three events seeing positive reactions above 4% and two showing declines just above 4%, indicating mixed but generally strong sensitivity to AI news.

Recent Company History

Over recent months, Oracle has repeatedly highlighted AI-focused initiatives. Prior AI-tagged releases covered financial services agentic AI expansion, AI-enabled capital project tools, utility-suite AI upgrades, AI database availability and security tiers, and AI-driven financial crime compliance enhancements. These updates often featured new embedded agents, stricter governance, and higher availability tiers. The current announcement—extending Oracle AI Database@Google Cloud with Gemini Enterprise access and broader regional reach—fits this pattern of scaling AI infrastructure and agentic capabilities across industries and platforms.

Historical Comparison

+2.8% avg move · In the past weeks, Oracle issued multiple AI-related updates with an average move of 2.82%. Today’s ...
AI
+2.8%
Average Historical Move AI

In the past weeks, Oracle issued multiple AI-related updates with an average move of 2.82%. Today’s AI database and Gemini Enterprise expansion continues that cadence of infrastructure-focused AI news.

AI-tagged news shows a progression from core AI database availability and security, to industry-specific AI in utilities, banking, and compliance. The current update extends this arc into multicloud database access and agentic AI workflows via Google Cloud.

Market Pulse Summary

This announcement extends Oracle AI Database@Google Cloud with Gemini Enterprise access, a new Oracl...
Analysis

This announcement extends Oracle AI Database@Google Cloud with Gemini Enterprise access, a new Oracle AI Database Agent, and availability in 15 regions, with two more planned within 12 months. It underscores Oracle’s focus on agentic AI, multicloud data architectures, and real-time analytics. In context of recent AI-tagged initiatives across banking, utilities, and compliance, investors may track customer uptake, workload migration to Google Cloud, and how these capabilities integrate with broader Oracle AI platforms.

Key Terms

agentic ai, lakehouse architecture, iceberg tables
3 terms
agentic ai technical
"power agentic AI with trusted business data."
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
lakehouse architecture technical
"build a unified lakehouse architecture that supports analytics and AI workloads"
A lakehouse architecture is a way to store and work with a company's data that combines the cheap, flexible storage of a raw data pool (a “lake”) with the organized, query-ready structure of a traditional data store (a “warehouse”). For investors, it matters because it can lower costs, speed up analysis and forecasting, and reduce the time businesses take to turn messy information into reliable insights—like keeping a workshop and a labeled toolbox in the same room so you can find and use parts faster.
iceberg tables technical
"allowing Oracle Autonomous AI Lakehouse to directly read BigQuery Iceberg tables"
An iceberg table is a view or listing of buy and sell orders where large orders are broken into smaller visible portions so the full size stays hidden, much like an iceberg showing only its tip. Investors care because hidden volume can mask true supply or demand, affecting price moves and perceived liquidity; spotting or misunderstanding iceberg activity can change trading decisions and risk estimates.

AI-generated analysis. Not financial advice.

Secure, natural language access to Oracle data through Gemini Enterprise speeds insights without writing SQL 

AUSTIN, Texas, April 22, 2026 /PRNewswire/ -- Oracle has expanded its partnership with Google Cloud to give joint customers new ways to operationalize AI across enterprise data. Under the expanded partnership, the Oracle AI Database Agent for Gemini Enterprise gives Oracle AI Database@Google Cloud customers a simpler way to interact with their Oracle data using natural language. In addition, Oracle AI Database@Google Cloud now offers new capabilities and broader regional availability as global organizations, such as Worldline, use it to drive innovation and accelerate cloud migrations.

"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, 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 & platform ecosystem, 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."

The Oracle AI Database Agent, now available in the Google Cloud Marketplace, allows Gemini Enterprise customers to use natural language when interacting with their trusted Oracle data, while drawing on the in-database AI capabilities of Oracle AI Database to deliver relevant, context-aware answers. Customers can ask everyday business questions—such as analyzing revenue trends across regions and product lines—and receive immediate, data-driven answers that help them adjust pricing or prioritize sales efforts, all without writing SQL or building custom tools. The agent interprets each request, queries relevant, governed Oracle data, and delivers clear insights without moving or duplicating data. In addition, the Oracle AI Database Agent 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 visualization.

AI Shift is a CyberAgent subsidiary that helps enterprises in Japan build and deploy agentic AI solutions to automate business processes across customer service, marketing, and sales. AI Shift uses Oracle Autonomous AI Database on OCI to power its agent development platform and plans to use Oracle AI Database Agent to help customers expand their Oracle AI Database deployments to Oracle AI Database@Google Cloud.

"The Oracle AI Database Agent represents an important advancement in how we use AI with enterprise data," said Yuto Yoneyama, CEO, AI Shift. "With Gemini Enterprise, our users can move from writing SQL to asking questions in natural language to get answers grounded in trusted enterprise data. That helps us speed development, improve the quality of results, and make faster, more informed decisions without compromising governance and control."

Leading Organizations Choose Oracle AI Database@Google Cloud 
Global organizations, such as Worldline, are adopting Oracle AI Database@Google Cloud to accelerate their cloud migrations.

Worldline is a European payments provider that processes billions of transactions globally. To support its strict requirements for performance and security, Worldline is leveraging Oracle Exadata Database Service on Oracle AI Database@Google Cloud to modernize its payment processing platform and deliver scalable, low-latency, and secure payment services.

"Worldline operates one of the largest payment processing platforms, for which consistent low latency and high throughput are non-negotiable," said Arni Smit, director, software engineering, integration and payment platform, Worldline. "Oracle AI Database@Google Cloud gives us the scalability, resilience, and security capabilities we require to support real-time transaction processing at global scale by delivering the power of Oracle Exadata within Google Cloud."

New Oracle AI Database@Google Cloud Capabilities and Regions
New database capabilities and additional regions are supporting growing demand from across the world by 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. Generally available soon, OCI GoldenGate enables customers to act on live data without building complex data pipelines.

  • Oracle Autonomous AI Lakehouse integration with Google BigQuery: Enables customers to seamlessly access and analyze open-format data stored in Google Cloud Lakehouse by allowing Oracle Autonomous AI Lakehouse to directly read BigQuery Iceberg tables without data duplication. This helps 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 new region availability: Oracle AI Database@Google Cloud is now available in 15 regions: Asia-Northeast 1 (Tokyo), Asia-Northeast 2 (Osaka), Asia-South 1 (Mumbai), Asia-South 2 (Delhi), Australia-Southeast 1 (Sydney), Australia-Southeast 2 (Melbourne), Europe-West 8 (Milan), Germany Central (Frankfurt), North America-Northeast 1 (Montreal), North America-Northeast 2 (Toronto), South America-East 1 (São Paulo), UK South (London), US Central 1 (Iowa), US East (Ashburn), and US West (Salt Lake City). To support growing customer demand, additional regional availability is planned within the next 12 months in Europe-West 12 (Turin) and North America-South 1 (Mexico).

Additional Resources

About Oracle Distributed Cloud
Oracle's distributed cloud delivers the benefits of cloud with greater control and flexibility. Oracle's distributed cloud lineup includes:

  • Public cloud: Hyperscale public cloud regions serve any size of organization, including those requiring strict EU sovereignty controls. See the full list of regions here.
  • Dedicated cloud: Customers can run all OCI cloud services in their own data centers with OCI Dedicated Region, while partners can resell OCI cloud services and customize the experience using Oracle Alloy. Oracle also operates separate US, UK, and Australian Government Clouds, and Isolated Cloud Regions for national security purposes. Each of these products provides a full cloud and AI stack that customers can deploy as a Sovereign Cloud.
  • Hybrid cloud: OCI delivers key cloud services on-premises via Oracle Exadata Cloud@Customer and is already managing deployments in over 60 countries.
  • Multicloud: OCI is physically deployed within all the cloud providers, including AWS, Google Cloud, and Microsoft Azure, providing low latency, natively integrated Oracle AI Database services, including Oracle AI Database@AWS, Oracle AI Database@Azure, Oracle AI Database@Google Cloud; and Oracle HeatWave on AWS and Microsoft Azure. In addition, Oracle Interconnect for Microsoft Azure, Oracle Interconnect for Google Cloud, and the upcoming connection between OCI and AWS Interconnect–multicloud allow customers to seamlessly combine key capabilities from across clouds.

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Future Product Disclaimer
The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing, and pricing of any features or functionality described for Oracle's products may change and remains at the sole discretion of Oracle Corporation.

Forward-Looking Statements Disclaimer
Statements in this article relating to Oracle's future plans, expectations, beliefs, and intentions are "forward-looking statements" and are subject to material risks and uncertainties. Many factors could affect Oracle's current expectations and actual results, and could cause actual results to differ materially. A discussion of such factors and other risks that affect Oracle's business is contained in Oracle's Securities and Exchange Commission (SEC) filings, including Oracle's most recent reports on Form 10-K and Form 10-Q under the heading "Risk Factors." These filings are available on the SEC's website or on Oracle's website at oracle.com/investor. All information in this article is current as of April 22, 2026 and Oracle undertakes no duty to update any statement in light of new information or future events.

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

 

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/oracle-expands-powerful-ai-capabilities-in-oracle-ai-databasegoogle-cloud-to-supercharge-enterprise-data-innovation-302749874.html

SOURCE Oracle

FAQ

What does Oracle's Oracle AI Database Agent for Gemini Enterprise (ORCL) do?

It lets Gemini Enterprise users query Oracle data in natural language for immediate answers without SQL. According to the company, the agent interprets requests, queries governed Oracle data in‑place, and returns context‑aware insights while avoiding data movement or duplication.

How does OCI GoldenGate affect Oracle AI Database@Google Cloud migrations for ORCL customers?

OCI GoldenGate enables near real‑time, low‑impact migrations and high availability for Oracle databases. According to the company, it also integrates with Google BigQuery to provide near real‑time analytics without complex data pipelines or lengthy ETL processes.

Which regions currently support Oracle AI Database@Google Cloud (ORCL) and what's planned?

Oracle AI Database@Google Cloud is available in 15 regions now, with two additional regions planned within 12 months. According to the company, planned expansions include Europe‑West 12 (Turin) and North America‑South 1 (Mexico).

How does Oracle Autonomous AI Lakehouse integrate with Google BigQuery for ORCL customers?

The Lakehouse can directly read BigQuery Iceberg tables, enabling unified analysis without duplicating data. According to the company, this supports analytics and AI across Oracle and Google Cloud while reducing data movement and associated costs.

What business use cases does Oracle AI Database@Google Cloud support for customers like Worldline (ORCL)?

It supports scalable, low‑latency, secure transaction processing and cloud migrations for payment platforms. According to the company, Worldline uses Exadata on Oracle AI Database@Google Cloud to meet strict throughput and latency requirements for real‑time payments.

How can developers use Oracle data with Gemini Enterprise agents through ORCL offerings?

Developers can connect Oracle data to Gemini Enterprise Agent Platform to automate extraction, analysis, and visualization workflows. According to the company, this enables secure, advanced AI workflows while keeping governed data in place and preserving controls.