Both transactional and analytical workloads are supported by Oracle Autonomous Database

In an attempt to remain ahead of rival cloud-based database offerings like AWS, Google Cloud, IBM, and Snowflake, Oracle has improved its Autonomous Database offering. One of the offerings provided by Oracle Cloud Infrastructure (OCI) is Oracle Autonomous Database. Both transactional and analytical workloads are supported by Oracle Autonomous Database, which is built on top of Oracle's proprietary relational database management system (RDBMS), currently known as Oracle Database 23c. The primary feature that sets Autonomous Database apart is that its management system does all standard database maintenance activities automatically, including patching, upgrading, and tweaking, without requiring human intervention. Transaction processing, analytics and data warehousing, transactions and analytics on JSON data, and APEX application development are the four main workloads that Autonomous Database offers.

It's a platform for managed low-code application development that helps build and deploy data-driven apps. A no-code model monitoring interface, new spatial augmentation in Oracle Machine Learning, support for conversations in Select AI, and a new Autonomous Database Graph Studio interface are among the most recent updates. Oracle may have an advantage over competitors thanks to the latest improvements, which are centered on managing data, deriving insights from data, and expediting application development through the use of AI and machine learning, says ISG's Menninger. The executive director of ISG added that as nobody enjoys spending their time on these tasks, databases with the ability to free up administrative and management drudgery will draw businesses.