A third category of data, semi-structured data, falls in between structured and unstructured. While not stored in a relational database like structured data, semi-structured data has some organization properties — such as native metadata, tags or other markings — that make it easier to search, parse and analyze compared to truly unstructured data. Semi-structured data makes up just 5-10% of enterprise data, but it includes some common data types that have already been mentioned. For example, most email clients today include native metadata tagged onto all emails that allows for basic classification, keyword searching and more. Social media includes hashtags that allow limited searching capabilities. Other examples of semi-structured data include XML markup language, JSON data-interchange format, and noSQL databases.