Compare the Top XML Databases as of April 2025

What are XML Databases?

XML databases are a type of database that stores, manages, and retrieves data in the XML (Extensible Markup Language) format. These databases are designed to handle semi-structured data, where data is stored in a tree-like structure using tags, making it more flexible than traditional relational databases. XML databases support querying and manipulating XML data using specialized languages such as XPath, XQuery, and XML Schema. They are commonly used in applications that require complex data structures, such as content management systems, document storage, and web services. XML databases allow for efficient handling of large and dynamic datasets while maintaining the hierarchical relationships between elements, making them suitable for applications that need to store and retrieve structured or semi-structured data efficiently. Compare and read user reviews of the best XML Databases currently available using the table below. This list is updated regularly.

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    Altova DiffDog
    DiffDog includes powerful capabilities that let you compare and merge any type of text-based file, with support for Unicode, ASCII, MBCS, and any other file formats. DiffDog allows bi-directional merging as well as direct editing of both compared files. DiffDog automatically creates a backup of each file, allowing you to re-load the original file from the server or disk at any time should you need to start over. The XML differencing and editing features in DiffDog draw on Altova’s legacy as creator of XMLSpy, the world’s leading XML development. With robust features such as well-formedness and validation checking, code completion, DTD/schema based entry helpers, and more, DiffDog is a must-have differencing utility for Web and software developers working with XML.
    Starting Price: €109 one-time payment
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