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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.
PostgreSQL (/ ˌ p oʊ s t ɡ r ɛ s k j u ˈ ɛ l / POHST-gres-kew-EL) [11] [12] also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance.
PostgreSQL: PostgreSQL License Postgres Plus Advanced Server: Proprietary Progress Software: Proprietary R:Base: Proprietary RethinkDB: Apache License 2.0 SAND CDBMS: Proprietary SAP HANA: Proprietary SAP Adaptive Server Enterprise: Proprietary SAP IQ (formerly known as Sybase IQ) Proprietary SingleStore: Proprietary Snowflake Cloud Data ...
View all databases on the server, connect to a single database to work with its tables and data; View connected databases' total and table size in KB/MB/GB within the database/table tree structure; Create new, alter existing databases' name, character set and collation, drop (delete) databases; Tables, views, procedures, triggers and events ...
Time series database: Greenplum Database C Support and extensions available from VMware. MapD: C++ MariaDB ColumnStore C & C++ Formerly Calpont InfiniDB: Metakit: C++ MonetDB: C Open-source (since 2004) columnar Relational DBMS pioneer PostgreSQL cstore fdw, [1] vops [2] C cstore_fdw uses ORC format StarRocks Java & C++
Informix supports a database mode called ANSI mode which supports creating objects with the same name but owned by different users. PostgreSQL and some other databases have support for foreign schemas, which is the ability to import schemas from other servers as defined in ISO/IEC 9075-9 (published as part of SQL:2008). This appears like any ...
SymmetricDS is database independent, data synchronization software. It uses web and database technologies to replicate tables between relational databases in near real time. The software was designed to scale for a large number of databases, work across low-bandwidth connections, and withstand periods of network outage.
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.