Which of the following databases is known for handling unstructured data?

NoSQL databases are designed specifically to handle unstructured data, which refers to information that doesn’t fit neatly into traditional relational database tables. This type of data can include text, images, videos, and other formats that may not have a predefined schema. NoSQL solutions employ various models, such as document, key-value, column-family, or graph stores, which allow them to efficiently store and process such diverse types of data.

While MySQL, Oracle, and Microsoft SQL Server are powerful relational database management systems (RDBMS) that primarily deal with structured data, including well-defined rows and columns, they are typically less suited for unstructured data management. These systems can manage semi-structured data to some extent with extensions (e.g., JSON support), but they are not inherently designed for the flexibility and scalability that NoSQL databases provide. As a result, NoSQL databases are often chosen for applications that require robust handling of unstructured data, making them the correct answer in this context.