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A document-oriented database is a specialized key-value store, which itself is another NoSQL database category. In a simple key-value store, the document content is opaque. A document-oriented database provides APIs or a query/update language that exposes the ability to query or update based on the internal structure in the document. This ...
Traditional word processing documents and portable document format (PDF) files are easily read by humans but typically are difficult for machines to interpret. Other formats such as extensible markup language ( XML ), ( JSON ), or spreadsheets with header columns that can be exported as comma separated values (CSV) are machine readable formats.
Document-oriented databases have been developed for storing, retrieving, and managing document-oriented information, also known as semi-structured data. Extensible Markup Language ( XML ) is a World Wide Web Consortium ( W3C ) Recommendation setting forth rules for encoding documents in a format that is both human-readable and machine-readable.
While many electronic document management systems store documents in their native file format (Microsoft Word or Excel, PDF), some web-based document management systems are beginning to store content in the form of HTML. These HTML-based document management systems can act as publishing systems or policy management systems. [1]
A screenshot of the Coda document editor (2022) Coda is a document editor that uses features from spreadsheets, presentation documents, word processor files, and apps. [ 4 ] [ 5 ] [ 6 ] Possible uses for Coda documents include using them as a wiki, database, or project management tool. [ 5 ]
ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.