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A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent and most support consistency across racks, data centers, and wide area networks including cloud availability zones and cloud geographic zones .
SQL Anywhere (formerly known as Sybase Adaptive Server Anywhere and Watcom SQL) Proprietary SQL Azure (Cloud SQL Server) Proprietary SQLBase: Proprietary SQLite: Public Domain SQream DB: Proprietary SAP Advantage Database Server (formerly known as Sybase Advantage Database Server) Proprietary Teradata: Proprietary TiDB: Apache License 2.0 ...
A distributed database is a database in which data is stored across different physical locations. [1] It may be stored in multiple computers located in the same physical location (e.g. a data centre); or maybe dispersed over a network of interconnected computers.
A Relational Database Management System (RDBMS) is a type of database management system that stores data in a structured format using rows and columns. Many relational database systems are equipped with the option of using SQL (Structured Query Language) for querying and updating the database. [3]
A server is a self-identifying entity that provides an environment for storage and processing of managers, as either a client or a server, in a distributed processing environment. Examples are clients and servers specialized for distributed file or distributed relational database management.
This appears like any other schema in the database according to the SQL specification while accessing data stored either in a different database or a different server instance. The import can be made either as an entire foreign schema or merely certain tables belonging to that foreign schema. [ 188 ]
SingleStore (formerly MemSQL) is a distributed, relational, SQL database management system [2] (RDBMS) that features ANSI SQL support, it is known for speed in data ingest, transaction processing, and query processing. [3] [4] SingleStore stores relational data, JSON data, geospatial data, key-value vector data, and time series data.
Each system has at least some features of an object–relational database; they vary widely in their completeness and the approaches taken. The following tables compare general and technical information; please see the individual products' articles for further information.