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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 ...
MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB uses JSON -like documents with optional schemas . Released in February 2009 by 10gen (now MongoDB Inc. ), it supports features like sharding , replication , and ACID transactions (from version 4.0).
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 ...
Amazon DocumentDB is a managed proprietary NoSQL database service that supports document data structures, with some compatibility with MongoDB version 3.6 (released by MongoDB in 2017) and version 4.0 (released by MongoDB in 2018). As a document database, Amazon DocumentDB can store, query, and index JSON data. It is available on Amazon Web ...
MongoDB: MongoDB Inc. Document Store DBMS 4.0.10 MongoDB: 2009 Mono: Novell (now Xamarin) Open source implementation of Microsoft's .NET application framework 6.0.0 Mono 2004 Mule: MuleSoft Enterprise service bus and integration platform 3.9.0 Mule 2003 MySQL Enterprise: Oracle Corporation: RDBMS: 8.0.17 MySQL Community 1995 Neo4j: Neo4j: Graph ...
In computer programming, a collection is an abstract data type that is a grouping of items that can be used in a polymorphic way. Often, the items are of the same data type such as int or string . Sometimes the items derive from a common type; even deriving from the most general type of a programming language such as object or variant .
Examples: MongoDB, Cassandra, ScyllaDB, CouchDB, Redis. Document stores: Document stores store data in a semi-structured format, typically using JSON or XML documents. Each document can have a different structure, providing flexibility. Examples: MongoDB, CouchDB. Key-value stores: Key-value stores store data as pairs of keys and values.
JDBC-compliant databases, MongoDB: v11 Proprietary: 2021-12-10 Yes Yes Yes dotCMS: Java Oracle, SQL Server, MySQL, PostgreSQL: 5.2.4 Proprietary: 2020-01-24 Yes Yes Yes Elcom CMS: ASP.NET: SQL Server: 9.0 Proprietary: 2011-02-15 Yes Yes Yes OpenText Documentum: Java Oracle, SQL Server, IBM Db2: 16.4 Proprietary: 2018-05-01 No No Yes Episerver ...