What type of data does Oracle Autonomous Database handle optimally?

Oracle Autonomous Database is designed to handle both structured and semi-structured data optimally. Structured data refers to information that is organized in a predictable format, commonly found in relational databases, such as tables with rows and columns. On the other hand, semi-structured data includes formats that do not conform strictly to a fixed schema but still carry organizational properties, such as JSON or XML data formats.

The architecture of Oracle Autonomous Database is flexible and capable of efficiently managing diverse data types. This versatility allows users to leverage the capabilities of the database to perform analytics and data processing on various data forms without significant performance degradation. The availability of features like JSON support plays a crucial role in optimizing the handling of semi-structured data, making it possible to query and analyze data effectively regardless of its format.

In contrast, the limitation to only structured data would not accommodate today’s variety of data workloads, which often include semi-structured inputs. Meanwhile, focusing solely on unstructured or binary data disregards the need for relational database capabilities, leaving many databases inadequately equipped to manage the complexities of modern data landscapes.