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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 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).
With document databases like MongoDB it is common to put more data in a smaller number of collections. For example, in a blogging application, one might choose to store comments within the blog post document so that with a single retrieval one gets all the comments.
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 ...
Internally, Cosmos DB stores "items" in "containers", [3] with these two concepts being surfaced differently depending on the API used (these would be "documents" in "collections" when using the MongoDB-compatible API, for example). Containers are grouped in "databases", which are analogous to namespaces above containers.
MongoDB is a NoSQL database program that uses JSON-like BSON (binary JSON) documents with optional schemas. The role of the database in the MEAN stack is very commonly filled by MongoDB because its use of JSON-like documents for interacting with data as opposed to the row/column model allows it to integrate well with the other (JavaScript-based ...
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 ...
Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning. In some cases, BSON will use more space than JSON due to the length prefixes and explicit array indices. [2]