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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 ...
Pros and cons efficient for exact matches on key field; not suitable for range retrieval, which requires sequential storage; calculates where the record is stored based on fields in the record; hash functions ensure even spread of data; collisions are possible, so collision detection and restoration is required
The published document should be in a format that is not easily altered without a specific knowledge or tools, and yet it is read-only or portable. [17] Hard copy reproduction: Document/image reproduction is often necessary within a document management system, and its supported output devices and reproduction capabilities should be considered. [18]
A document-oriented database is a database management system designed for document-oriented applications. The main article for this category is Document-oriented database . See also: Document-oriented database § Implementations
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.
A distributed database, however, is a database in which all the information is stored on multiple physical locations. [7] Distributed databases are divided into two groups: homogeneous and heterogeneous. It relies on replication and duplication within its multiple sub-databases in order to maintain its records up to date. It is composed of ...
Some - can only reverse engineer the entire database at once and drops any user modifications to the diagram (can't "refresh" the diagram to match the database) Forward engineering - the ability to update the database schema with changes made to its entities and relationships via the ER diagram visual designer Yes - can update user-selected ...
Document databases take a different approach. A document that is stored in such a database, typically would contain more than one normalized data unit and often the relationships between the units as well. If all the data units and the relationships in question are often retrieved together, then this approach optimizes the number of retrieves.