將 PostgreSQL 與結構化文件整合

Support for Postgres in structured document tools enables integration between document-centric workflows and relational data storage. This allows developers to connect directly to a PostgreSQL database to manage, query, and transform structured content such as XML, JSON, or schema-driven documents. With capabilities like data mapping, validation, and conversion, users can work across multiple data formats while maintaining consistency and referential integrity through SQL-backed operations. This level of support enhances interoperability between document formats and databases, making it easier to automate complex data flows, enforce standards, and align structured documents with enterprise data architectures.

Several structured document tools offer support for Postgres including:

• Oxygen XML Developer Professional by Syncro Soft connects to PostgreSQL via JDBC, enabling direct querying and editing of XML data stored in relational database structures.
• Altova MapForce Professional provides visual data mapping between PostgreSQL and XML, JSON, or other formats, automating complex data integration workflows.
• Stylus Studio XML Enterprise Suite enables PostgreSQL integration for executing XQuery and SQL queries, merging relational data with structured document formats like XML.
• Liquid Studio Data Designer Edition supports PostgreSQL as a source or target in data mapping projects, facilitating schema-driven design and transformation tasks.

For an in-depth analysis of features and price, visit our comparison of structured document tools.

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