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5 Native XML Databases for Big Data   
Saturday, April 20 2013 @ 05:17 AM EDT
Contributed by: sde

Oceans of data are now not only found in large companies; even some small companies accumulate terabytes of data. Organisations of all sizes therefore have an increased need to handle large amounts of data, and relational databases are stretched to their limits in terms of scalability. Where Big Data is concerned, we need a platform that is scalable and optimized for storing, managing, and querying unstructured data.

An XML database allows data to be stored in the Extensible Markup Language (XML) format, a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. Using a native XML database offers the ability to store data and documents without requiring a database schema. Since XML can be used to describe any type of data, it offers a common format for representing both structured and unstructured data. Further, using XML makes mapping technologies unnecessary. Unlike relational databases, XML databases allow database structures to be modified quickly to meet changing information requirements.

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