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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).
Legend User Interface: Browser based - executes on a computer server and is accessed via a network using a web browser; desktop - executes on a personal computer; Create/alter table:
Omnis Studio: TigerLogic Inc 1982-07 6.1.3 Release 1no 2015-12 Proprietary: No OpenEdge: Progress Software Corporation: 1984 12.8 2024-1 Proprietary: No OpenLink Virtuoso: OpenLink Software 1998 7.2.5.1 2018-08-15 GPL v2 or Proprietary: Yes [30] Oracle DB: Oracle Corporation: 1979-11 23ai [31] 2023-09-19; 15 months ago Proprietary: No Oracle ...
NoSQL (originally referring to "non-SQL" or "non-relational") [1] is an approach to database design that focuses on providing a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases.
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.
In addition to implementing Cassandra's protocols, ScyllaDB also implements the Amazon DynamoDB API. [2] ScyllaDB uses a sharded design on each node, meaning that each CPU core handles a different subset of data. Cores do not share data, but rather communicate explicitly when they need to.