Oracle expands distributed cloud offerings to innovate anywhere

Oracle CloudWorld -- Oracle continues to expand its distributed cloud offerings to meet organizations' diverse needs and the growing worldwide demand for Oracle Cloud Infrastructure (OCI) services. The latest additions to OCI's distributed cloud include Oracle Database@Azure and MySQL HeatWave Lakehouse on AWS. As a result, organizations gain even more flexibility to deploy cloud services anywhere while addressing a variety of data privacy, data sovereignty, and low latency requirements, as well as access to more than 100 services designed to run any workload. Demonstrating the success of its distributed cloud strategy, Oracle also announced increased global partner adoption of Oracle Alloy.

"OCI's distributed cloud is designed to give customers as much choice as possible in where and how they deploy cloud services without sacrificing performance, scale, and availability," said Karan Batta, senior vice president, Oracle Cloud Infrastructure. "The modern-day cloud must be more distributed and more flexible than ever. With Oracle database services running on OCI and deployed in Microsoft Azure datacenters customers gain more flexibility on where they run their workloads."

Oracle Database@Azure Delivers Direct Access to Oracle Database Services Running on OCI in Microsoft AzureWith the recent introduction of Oracle Database@Azure, customers will gain direct access to Oracle database services running on OCI and deployed in Microsoft Azure datacenters. Oracle Database@Azure delivers all the performance, scale, and availability advantages of Oracle Database on OCI. This combination provides customers with more flexibility regarding where they run their workloads. It also provides a streamlined environment that simplifies cloud purchasing and management between Oracle Database and Azure services. 

MySQL HeatWave Lakehouse Now Available on AWS With the addition of the Lakehouse capability in MySQL HeatWave, AWS customers can now run transaction processing, real-time analytics across data warehouses and data lakes, and machine learning in one cloud database service. They can replace five AWS services with one, reducing complexity and obtaining the best price-performance in the industry for analytics.

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