List of Oracle AI Database@AWS Customers
Oracle
2300 Oracle Way,
Austin, TX, 78741,
United States
Austin, TX, 78741,
United States
1 737-867-1000
Professional Services
162000
$67.4B
Since 2010, our global team of researchers has been studying Oracle AI Database@AWS customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Oracle AI Database@AWS for AI Database from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Oracle AI Database@AWS for AI Database include: Deloitte, a United Kingdom based Professional Services organisation with 470000 employees and revenues of $70.50 billion, Kirin Holdings, a Japan based Consumer Packaged Goods organisation with 29515 employees and revenues of $12.36 billion, Snowy Hydro, a Australia based Utilities organisation with 2171 employees and revenues of $2.72 billion, Ausiex, a Australia based Banking and Financial Services organisation with 250 employees and revenues of $35.0 million and many others.
Contact us if you need a completed and verified list of companies using Oracle AI Database@AWS, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Oracle AI Database@AWS customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Ausiex | Banking and Financial Services | 250 | $35M | Australia | Oracle | Oracle AI Database@AWS | AI Database | 2026 | n/a |
In 2026, AUSIEX implemented Oracle AI Database@AWS to move its established Oracle database workloads into an AWS-aligned cloud model. The deployment uses Oracle Exadata Database Service on Dedicated Infrastructure to retain Exadata capabilities and preserve the Oracle AI Database technology central to its operations.
The implementation preserved Oracle AI Database capabilities including in-database machine learning, model hosting and advanced analytics for database resident workloads, aligning AI Database functionality with cloud native provisioning on AWS. Workloads transitioned include systems supporting trade execution, clearing and settlement, online corporate actions, portfolio administration and tax reporting that serve financial institutions, financial advisers, platforms and wealth managers.
AUSIEX transitioned workloads from Oracle Exadata Cloud@Customer to Oracle AI Database@AWS to minimize disruption to existing operations and to support additional cloud adoption over time. The program leverages AUSIEXs membership in the NRI FinIT Group to align financial markets domain expertise with cloud architecture decisions, and preserves operational processes and Exadata performance characteristics within an AWS focused infrastructure strategy.
|
 |
Deloitte | Professional Services | 470000 | $70.5B | United Kingdom | Oracle | Oracle AI Database@AWS | AI Database | 2026 | n/a |
In 2026, Deloitte provisioned Oracle AI Database@AWS as a development and demonstration platform to validate multicloud configurations for clients evaluating Oracle alongside AWS. The implementation centers on Oracle AI Database@AWS, classified as an AI Database, and uses Oracle Autonomous AI Transaction Processing as the primary runtime for development workloads.
The deployment architecture places Oracle Autonomous AI Transaction Processing within the Oracle AI Database@AWS service to host AI enabled transaction processing, model training and inference pipelines, and dev sandbox instances for building real world demonstrations. Configuration focused on development environment capabilities and operational workflows needed to reproduce customer scenarios, including data ingestion, autonomous transaction processing, and AI model serving typical of AI Database platforms.
Integrations are explicit to the extent of running Oracle AI Database capabilities on AWS infrastructure, enabling Deloitte to show customers how Oracle's AI Database functionality can be retained while operating on AWS. Operational coverage emphasizes consulting and engineering teams that build demonstrations and multicloud advisory materials for Deloitte’s audit, assurance, consulting, tax, and industry clients across multiple sectors.
Governance and rollout were scoped to a development and demonstration environment rather than a production release, with process controls oriented to repeatable demo builds and customer proof of concept activities. The stated outcome is a strengthened ability for Deloitte to advise clients on multicloud options by demonstrating Oracle AI Database capabilities running on AWS, improving the firm’s practical multicloud advisory evidence without altering cited metrics or costs.
|
 |
Kirin Holdings | Consumer Packaged Goods | 29515 | $12.4B | Japan | Oracle | Oracle AI Database@AWS | AI Database | 2026 | n/a |
In 2026, Kirin Holdings implemented Oracle AI Database@AWS to move high performance database workloads from on-premises Oracle Exadata into its preferred AWS environment. The deployment uses Oracle Exadata Database Service on Dedicated Infrastructure to preserve Exadata-equivalent performance while increasing flexibility for future data workloads, and the initiative is aligned with the AI Database category.
The architecture provisions Oracle Exadata Database Service on Dedicated Infrastructure within AWS, retaining Exadata storage and compute characteristics and enabling Oracle AI Database@AWS capabilities for in-database analytics and AI processing. Configuration emphasized capacity planning and performance parity for transaction and analytical workloads, with database consolidation and service-level alignment to mirror on-premises behavior.
Operational scope included Kirin Holdings business lines across alcoholic and nonalcoholic beverages, health science, and pharmaceuticals, with coordination between IT and business process owners to minimize impact during migration. Governance centered on staged cutovers and configuration parity testing to validate performance equivalence and to maintain operational continuity while increasing platform flexibility for future data workloads.
|
 |
Snowy Hydro | Utilities | 2171 | $2.7B | Australia | Oracle | Oracle AI Database@AWS | AI Database | 2026 | n/a |
In 2026, Snowy Hydro deployed Oracle AI Database@AWS to support its critical business platforms. The Oracle AI Database@AWS implementation targets Snowy Hydro’s core data infrastructure, positioning the AI Database to underpin future data and AI initiatives across operations and analytics.
The deployment is hosted on Amazon Web Services, leveraging a managed Oracle AI Database environment to provide scalable storage and compute, automated maintenance workflows, and built-in high availability for mixed transactional and analytic workloads. Functional capabilities emphasized in the configuration include managed backups and recovery, operational automation to reduce maintenance disruption, and integrated model hosting to accelerate data and AI use cases.
Operational scope covers Snowy Hydro’s critical business platforms and enterprise data services, with governance focused on centralizing database operations, reducing maintenance-related downtime, and strengthening resilience. Snowy Hydro expects the move to Oracle AI Database@AWS to reduce maintenance-related disruption, improve availability and performance, strengthen resilience, and support future data and AI initiatives.
|
Showing 1 to 4 of 4 entries
Buyer Intent: Companies Evaluating Oracle AI Database@AWS
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Oracle AI Database@AWS. Gain ongoing access to real-time prospects and uncover hidden opportunities.
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD Oracle AI Database@AWS Coverage
Oracle AI Database@AWS is a AI Database solution from Oracle.
Companies worldwide use Oracle AI Database@AWS, from small firms to large enterprises across 21+ industries.
Organizations such as Deloitte, Kirin Holdings, Snowy Hydro and Ausiex are recorded users of
Oracle AI Database@AWS for AI Database.
Companies using Oracle AI Database@AWS are most concentrated in Professional Services, Consumer Packaged Goods and Utilities, with adoption spanning over 21 industries.
Companies using Oracle AI Database@AWS are most concentrated in United Kingdom, Japan and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Oracle AI Database@AWS across Americas, EMEA, and APAC.
Companies using Oracle AI Database@AWS range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 25%, and global enterprises with 10,000+ employees - 50%.
Customers of Oracle AI Database@AWS include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Oracle AI Database@AWS customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of AI Database.