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SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
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 database management system (DBMS) is a computer program (or more typically, a suite of them) designed to manage a database, a large set of structured data, and run operations on the data requested by numerous users.
A variation of example 3 allows "Dynamic SQL" to be created in the source code, and then used to communicate with Rdb via a structure known as SQLDA (SQL Descriptor Area). On OpenVMS systems, Oracle Rdb is a popular (although expensive) upgrade path for applications written using Record Management Services (RMS) files.
Query by Example (QBE) is a database query language for relational databases. It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL. [1] It is the first graphical query language, using visual tables where the user would enter commands, example elements and conditions.
A true fully (database, schema, and table) qualified query is exemplified as such: SELECT * FROM database. schema. table. Both a schema and a database can be used to isolate one table, "foo", from another like-named table "foo". The following is pseudo code: SELECT * FROM database1. foo vs. SELECT * FROM database2. foo (no explicit schema ...
Database name Language implemented in Notes Apache Doris Java & C++ Open source (since 2017), database for high-concurrency point queries and high-throughput analysis. Apache Druid: Java Started in 2011 for low-latency massive ingestion and queries. Support and extensions available from Imply Data. Apache Kudu: C++
Relational database features, supporting lookup tables and the other elements of a normalized relational database; Powerful set-at-a-time operations under the control of simple imperative commands; Accesses data from many sources, such as VSAM, IMS, IDMS, DB2, Oracle, and SQL Server.