Oracle Database@AWS Launches with AI Features and AWS Integration

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Oracle and AWS have made Oracle Database@AWS generally available, offering new features including AI capabilities and seamless integration with AWS services.

Oracle Database@AWS Goes Live with Advanced Features

Oracle Corporation and Amazon Web Services (AWS) have officially launched Oracle Database@AWS into general availability, marking a significant milestone in their collaborative effort to provide enterprise-grade database solutions in the cloud 12.

AI-Powered Capabilities

The latest release, known as Oracle Database 23ai, introduces cutting-edge features designed to enhance artificial intelligence integration:

  1. AI Vector Search: This feature simplifies the process for AI models to locate relevant information in response to user queries, potentially accelerating AI-driven applications 1.

  2. Embedded AI Vector Capabilities: Oracle Database 23ai supports embedded Oracle AI Vector Search, offering a streamlined method for searching documents, images, and relational data based on conceptual content rather than specific words or data values 2.

AWS Integration and Cloud Synergy

Oracle Database@AWS is engineered to provide seamless integration with AWS services:

  1. Zero-ETL Integration: This new capability eliminates the need for custom extract, transform, load (ETL) workflows, facilitating smoother data flow between Oracle Database services and AWS Analytics services 12.

  2. AWS Service Compatibility: The offering integrates with various AWS services, including AWS Identity and Access Management (IAM), AWS CloudFormation, Amazon CloudWatch, Amazon VPC Lattice, and Amazon EventBridge 2.

  3. S3 Integration: A new Amazon S3 integration allows for automatic backup of records to Amazon S3, enhancing data protection and recovery options 1.

Performance and Scalability Enhancements

Several features focus on improving database performance and scalability:

  1. Real Application Clusters (RAC): This technology provides high availability features to minimize downtime risks 1.

  2. Exadata Appliances: These Oracle-developed systems offer performance-optimized deployments, with the latest versions capable of processing some read queries with a latency of just 14 microseconds 1.

  3. Autonomous VM Clusters: This feature enables the division of an Exadata machine into multiple isolated virtual systems, each configurable with different cybersecurity settings 1.

Industry Impact and Customer Adoption

The launch of Oracle Database@AWS is being hailed as a potential game-changer in the industry:

  1. Enterprise Adoption: Early adopters from various sectors, including telecommunications, energy, and financial services, are leveraging the solution to address complex business challenges 2.

  2. Customer Testimonials: Companies like Fidelity Investments, Nationwide, and SAS have expressed enthusiasm about the offering's potential to streamline operations, accelerate innovation, and maintain reliability 2.

Future Expansion

Oracle and AWS have announced plans to expand the availability of Oracle Database@AWS:

  1. Current Availability: The service is now available in AWS Regions in Northern Virginia and Oregon 2.

  2. Planned Expansion: There are intentions to extend the service to 20 more regions, indicating a commitment to global accessibility 2.

As cloud computing and AI continue to reshape the technology landscape, the general availability of Oracle Database@AWS represents a significant step in providing enterprises with powerful, flexible, and integrated database solutions in the cloud.

Source: SiliconANGLE

Source: SiliconANGLE

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