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The SQL specification defines what an "SQL schema" is; however, databases implement it differently. To compound this confusion the functionality can overlap with that of a parent database. An SQL schema is simply a namespace within a database; things within this namespace are addressed using the member operator dot ".". This seems to be a ...
This is a comparison of object–relational database management systems (ORDBMSs). Each system has at least some features of an object–relational database ; they vary widely in their completeness and the approaches taken.
10.2.1 C++, C#, Java, Python, Smalltalk and XML: SQL superset Proprietary: Distributed, Parallel Query Engine ObjectStore: 7.2 (July 2011) C++, Java, interoperable with .NET SQL subset (also has own object query language) Proprietary: Embedded database supporting efficient, distributed management of C++ and Java objects.
The following tables compare general and technical information for a number of available database administration tools. Please see individual product articles for further information. Please see individual product articles for further information.
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 TimesTen: Proprietary Trafodion: Apache License 2.0 Transbase: Proprietary Unisys RDMS 2200 ...
SQL, ODBC, JDBC, ADO.NET, Embedded SQL, C, C++, Python Proprietary Mimer SQL is a general purpose relational database server that can be configured to run fully in-memory. Mimer SQL has full ACID support, support for stored procedures and is the only database that has a full score on SQL compliance Mnesia: Ericsson: 2014 Open Source Erlang License
This is a comparison between notable database engines for the MySQL database management system (DBMS). A database engine (or "storage engine") is the underlying software component that a DBMS uses to create, read, update and delete (CRUD) data from a database.
As more and more platforms are proposed to deal with multi-model data, there are a few works on benchmarking multi-model databases. For instance, Pluciennik, [6] Oliveira, [7] and UniBench [8] reviewed existing multi-model databases and made an evaluation effort towards comparing multi-model databases and other SQL and NoSQL databases respectively.