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SQL, ODBC, JDBC, C, C++, Java, Python, PHP, Node.js, Perl, Ruby, R, MAL open-source MonetDB License, based on MPL 2.0 as of version Jul2015. in-memory optimized column-oriented relational database management system (RDBMS) written in C with an SQL top-level interface and ODBC, JDBC drivers MySQL NDB Cluster: MySQL: 1997
Access Database Engine (formerly known as Jet Database Engine) Proprietary Actian Zen (PSQL) (formerly known as Pervasive PSQL) Proprietary Adabas D: Proprietary Airtable: Proprietary Altibase: Proprietary Amazon Aurora: Proprietary Apache Derby: Apache License 2.0 Apache Ignite: Apache License 2.0 Aster Data Systems: Proprietary CA Datacom ...
Gadfly is a relational database management system written in Python. Gadfly is a collection of Python modules that provides relational database functionality entirely implemented in Python. It supports a subset of the standard RDBMS Structured Query Language (SQL). [1] [2]
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 ]
Embedded database supporting efficient, distributed management of C++ and Java objects. Avoids the complexities and limitations of ORM products such as Hibernate by storing objects directly with their relationships intact. Uses a page-based mapping system for fast locking and efficient, distributed, client-side caching. ODABA: 12.3.0 (August 2013)
A relational database (RDB [1]) is a database based on the relational model of data, as proposed by E. F. Codd in 1970. [2]A database management system used to maintain relational databases is a relational database management system (RDBMS).
MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI) in the Netherlands.It is designed to provide high performance on complex queries against large databases, such as combining tables with hundreds of columns and millions of rows.
The following tables compare general and technical information for a number of available database administration tools. Please see individual product articles for further information. This article is neither all-inclusive nor necessarily up to date. Systems listed on a light purple background are no longer in active development.