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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 ...
Amazon DynamoDB does not natively support join operations, as it is a NoSQL database optimized for single-table, high-performance access patterns. However, join-like operations can be achieved through integrations with external tools such as Amazon EMR, Amazon Athena, and Apache Spark.
Dynamo is a set of techniques that together can form a highly available key-value structured storage system [1] or a distributed data store. [1] It has properties of both databases and distributed hash tables (DHTs).
The central concept of a document-oriented database is the notion of a document.While each document-oriented database implementation differs on the details of this definition, in general, they all assume documents encapsulate and encode data (or information) in some standard format or encoding.
Amazon designed Aurora to be compatible with MySQL, meaning that tools for querying or managing MySQL databases (such as the mysql command-line client and the MySQL Workbench graphical user-interface) can be used. As of December 2021, Amazon Aurora is compatible with MySQL 5.6, 5.7, and 8.0. [15] It supports InnoDB as a storage engine. [16]
Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [ 3 ]
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Amazon Neptune is a managed graph database product published by Amazon.com. It is used as a web service and is part of Amazon Web Services (AWS). It was announced on November 29, 2017. [ 1 ]
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related to: amazon documentdb vs dynamodb pro express