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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 ...
Reads from the indexes on the primary instance are read-after-write consistent and users can delete or create new indexes at any time. DocumentDB was an enhancement to the Amazon Aurora relational database system, [5] specifically the PostgreSQL-compatible edition. Its architecture separates storage and computing so that each layer can scale ...
Users need to account for qualities and limitations of databases and search engines, especially those searching systematically for records such as in systematic reviews or meta-analyses. [2] As the distinction between a database and a search engine is unclear for these complex document retrieval systems, see:
CrateDB is a distributed SQL database management system that integrates a fully searchable document-oriented data store. It is open-source, written in Java, based on a shared-nothing architecture, and designed for high scalability. CrateDB includes components from Trino, Lucene, Elasticsearch and Netty.
MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON-like documents with optional schemas. MongoDB is developed by MongoDB Inc. and current versions are licensed under the Server Side Public License (SSPL). MongoDB is a member of the MACH Alliance.
Documents are addressed in the database via a unique key that represents that document. Another defining characteristic of a document-oriented database is an API or query language to retrieve documents based on their contents. Different implementations offer different ways of organizing and/or grouping documents: Collections; Tags; Non-visible ...
Unlike a relational database, a CouchDB database does not store data and relationships in tables. Instead, each database is a collection of independent documents. Each document maintains its own data and self-contained schema. An application may access multiple databases, such as one stored on a user's mobile phone and another on a server.
IGDB (Internet Games Database) IMDb (Internet Movie Database) INDUCKS; IndexMaster; Informit (database) Inorganic Crystal Structure Database; Interment.net