ExaDB-XS: Exadata Performance Without the Upfront Commitment

The centerpiece of the announcement is the general availability of ExaDB-XS on Oracle AI Database@AWS . Built on Oracle's multitenant Exascale architecture, ExaDB-XS uses a shared-storage pool that spans VM clusters, allowing customers to specify the compute and storage capacity they need and spread each database across pooled storage servers .

Consumption-Based Pricing

• No dedicated infrastructure to provision upfront. Customers pay only for what they consume .
• Start as small as 8 Elastic CPUs (ECPUs) and 300 GB of storage, then scale compute and storage independently in small increments .
• A 48-hour minimum billing period applies per VM cluster creation, after which usage is purely consumption-based .
• Available through AWS Marketplace via public or private offers .

Instant Thin Cloning

Exascale infrastructure enables instant space-efficient snapshots and thin clones with native Oracle Database support . Thin clones are created rapidly without duplicating underlying data, making them ideal for development, testing, and rapid database provisioning .

Database Support

• Supports Oracle Database Enterprise Edition and Standard Edition 2, including Oracle Real Application Clusters (RAC) .
• Runs on Oracle's multitenant Exascale architecture with a shared-storage pool across VM clusters .

Key Capabilities

• Independent scaling of compute and storage
• Exadata-class performance including smart storage, Smart Scan, and storage indexing
• Pay-per-use economics with no minimum commitment for infrastructure beyond the initial 48-hour period

Enterprise Adoption: Three Named Customers

Three enterprises were highlighted as running business-critical workloads on Oracle AI Database@AWS :

• CJ Olive Young — South Korea's leading health and beauty retailer, modernizing retail operations .
• Kobalt Music Group — A global music publishing and neighboring rights company, processing millions of royalty transactions .
• Metropolitan Transport Authority (ATM) of Barcelona — The public transit authority in Spain, modernizing critical database workloads .

These customers, along with others like Helvetia Caser, have migrated workloads to Oracle Exadata Database Service and Oracle Autonomous AI Database running within AWS .

AWS Service Integrations

Oracle AI Database@AWS enables deep integration with a broad set of AWS tools :

• Amazon Bedrock — Customers can run natural-language queries on Oracle databases using generative AI and Select AI with Bedrock .
• Amazon Redshift — Zero-ETL integrations allow unified data across Oracle and AWS for analytics and AI, eliminating traditional extract-transform-load pipelines .
• Amazon CloudWatch — Monitoring and observability for Oracle database workloads running within AWS .
• Amazon S3 — Oracle-managed backups to Amazon S3 .
• Amazon SageMaker and Amazon QuickSight — Combined with Oracle AI Vector Search and other Oracle AI Database features .
• AWS Marketplace — Simplified procurement and billing for all services .

Partner Role: Deloitte and Hitachi

The official press release names Deloitte and Hitachi as key global systems integrator partners supporting customers on Oracle AI Database@AWS . These partners help enterprises design, migrate, and manage multicloud Oracle database deployments within AWS. Eligible AWS Partner Network and Oracle Partner Network members can also resell the service through AWS Channel Partner Private Offers .

Migration Support and Tooling

The expanded SCA between Oracle and AWS is specifically designed to accelerate customer migration to Oracle AI Database@AWS . Key migration support includes :

• Joint investment in migration tooling, zero-ETL integrations, and simplified networking between OCI and AWS.
• Customers can migrate existing Exadata workloads (including those on RAC) to Exadata Database Service on Dedicated Infrastructure or Autonomous Database on Dedicated Exadata Infrastructure within AWS .
• The ExaDB-XS consumption model lowers the financial barrier to migration by eliminating upfront infrastructure commitments .

In April 2026, Oracle announced plans to expand multicloud networking between OCI and AWS, allowing customers to establish private, high-speed connections between the two cloud environments . In June 2026, the service became available in Spain, enabling organizations including ATM Barcelona and Helvetia Caser to migrate critical workloads .

Additional Context

The August 13 announcement also noted that Oracle Autonomous AI Database Serverless is newly generally available alongside the ExaDB-XS expansion . Over the past year, Oracle AI Database@AWS has achieved application-to-database latency as low as 165 microseconds .

ExaDB-XS: Exadata Performance Without the Upfront Commitment

The centerpiece of the announcement is the general availability of ExaDB-XS on Oracle AI Database@AWS . Built on Oracle's multitenant Exascale architecture, ExaDB-XS uses a shared-storage pool that spans VM clusters, allowing customers to specify the compute and storage capacity they need and spread each database across pooled storage servers .

Consumption-Based Pricing

• No dedicated infrastructure to provision upfront. Customers pay only for what they consume .
• Start as small as 8 Elastic CPUs (ECPUs) and 300 GB of storage, then scale compute and storage independently in small increments .
• A 48-hour minimum billing period applies per VM cluster creation, after which usage is purely consumption-based .
• Available through AWS Marketplace via public or private offers .

Instant Thin Cloning

Exascale infrastructure enables instant space-efficient snapshots and thin clones with native Oracle Database support . Thin clones are created rapidly without duplicating underlying data, making them ideal for development, testing, and rapid database provisioning .

Database Support

• Supports Oracle Database Enterprise Edition and Standard Edition 2, including Oracle Real Application Clusters (RAC) .
• Runs on Oracle's multitenant Exascale architecture with a shared-storage pool across VM clusters .

Key Capabilities

• Independent scaling of compute and storage
• Exadata-class performance including smart storage, Smart Scan, and storage indexing
• Pay-per-use economics with no minimum commitment for infrastructure beyond the initial 48-hour period

Enterprise Adoption: Three Named Customers

Three enterprises were highlighted as running business-critical workloads on Oracle AI Database@AWS :

• CJ Olive Young — South Korea's leading health and beauty retailer, modernizing retail operations .
• Kobalt Music Group — A global music publishing and neighboring rights company, processing millions of royalty transactions .
• Metropolitan Transport Authority (ATM) of Barcelona — The public transit authority in Spain, modernizing critical database workloads .

These customers, along with others like Helvetia Caser, have migrated workloads to Oracle Exadata Database Service and Oracle Autonomous AI Database running within AWS .

AWS Service Integrations

Oracle AI Database@AWS enables deep integration with a broad set of AWS tools :

• Amazon Bedrock — Customers can run natural-language queries on Oracle databases using generative AI and Select AI with Bedrock .
• Amazon Redshift — Zero-ETL integrations allow unified data across Oracle and AWS for analytics and AI, eliminating traditional extract-transform-load pipelines .
• Amazon CloudWatch — Monitoring and observability for Oracle database workloads running within AWS .
• Amazon S3 — Oracle-managed backups to Amazon S3 .
• Amazon SageMaker and Amazon QuickSight — Combined with Oracle AI Vector Search and other Oracle AI Database features .
• AWS Marketplace — Simplified procurement and billing for all services .

Partner Role: Deloitte and Hitachi

The official press release names Deloitte and Hitachi as key global systems integrator partners supporting customers on Oracle AI Database@AWS . These partners help enterprises design, migrate, and manage multicloud Oracle database deployments within AWS. Eligible AWS Partner Network and Oracle Partner Network members can also resell the service through AWS Channel Partner Private Offers .

Migration Support and Tooling

The expanded SCA between Oracle and AWS is specifically designed to accelerate customer migration to Oracle AI Database@AWS . Key migration support includes :

• Joint investment in migration tooling, zero-ETL integrations, and simplified networking between OCI and AWS.
• Customers can migrate existing Exadata workloads (including those on RAC) to Exadata Database Service on Dedicated Infrastructure or Autonomous Database on Dedicated Exadata Infrastructure within AWS .
• The ExaDB-XS consumption model lowers the financial barrier to migration by eliminating upfront infrastructure commitments .

In April 2026, Oracle announced plans to expand multicloud networking between OCI and AWS, allowing customers to establish private, high-speed connections between the two cloud environments . In June 2026, the service became available in Spain, enabling organizations including ATM Barcelona and Helvetia Caser to migrate critical workloads .

Additional Context

The August 13 announcement also noted that Oracle Autonomous AI Database Serverless is newly generally available alongside the ExaDB-XS expansion . Over the past year, Oracle AI Database@AWS has achieved application-to-database latency as low as 165 microseconds .