Announcing today at AWS re:Invent 2023, IBM has revealed that it has been working with Amazon on offering Amazon Relational Database Service (Amazon RDS) for Db2, a fully managed cloud offering making it easier for database customers to manage data for artificial intelligence (AI) workloads spanning hybrid cloud environments.
Businesses use AI to make more informed decisions, automation of repetitive tasks, and greater efficiencies. Yet AI requires enormous amounts of data using modern data stores on cloud-native architectures to provide scalability, cost optimization, enhanced performance, and business continuity. This is how the IBM and Amazon RDS collaboration helps alleviate this dilemma:
Amazon RDS for Db2 customers now have the option to modernize on premises, on AWS, or to deploy a hybrid cloud architecture, to optimize AI workloads. For customers moving to AWS, Amazon RDS for Db2 can help them to migrate their existing, self-managed Db2 databases to the cloud — helping to automate time consuming database administrative tasks such as provisioning, backups, software patching, and monitoring.
Amazon RDS has been proven to reduce costs and increase productivity based on an AWS and IDC study of RDS users:
Amazon RDS customers have seen significant business value by moving to a fully managed service. Results of an AWS and IDC study of RDS users found study participants who moved to a managed database on Amazon RDS were able to manage on average up to 60% more databases per DBA and estimated an average of 39% lower database operational costs over three years – enabling DBAs to focus on high value work like application modernization or query optimization.
