DBMS > IBM Db2 warehouse vs. PostgreSQL vs. SAP SQL Anywhere
System Properties Comparison IBM Db2 warehouse vs. PostgreSQL vs. SAP SQL Anywhere
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|Editorial information provided by DB-Engines|
|Name||IBM Db2 warehouse formerly named IBM dashDB Xexclude from comparison||PostgreSQL Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Description||Cloud-based data warehousing service||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments|
|Primary database model||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
|Developer||IBM||PostgreSQL Global Development Group www.postgresql.org/developer||SAP formerly Sybase|
|Initial release||2014||1989 1989: Postgres, 1996: PostgreSQL||1992|
|Current release||12.0, October 2019||17, July 2015|
|License Commercial or Open Source||commercial||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no Import/export of XML data possible||yes specific XML-type available, but no XML query functionality.||yes|
|SQL Support of SQL||yes||yes standard with numerous extensions||yes|
|APIs and other access methods||.NET Client API|
|native C library|
streaming API for large objects
|Supported programming languages||Java|
|Server-side scripts Stored procedures||PL/SQL, SQL PL||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes, in C/C++, Java, .Net or Perl|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Master-slave replication other methods possible by using 3rd party extensions||Master-slave replication Database mirroring|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|IBM Db2 warehouse formerly named IBM dashDB||PostgreSQL||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Conferences and events|
PostgreSQL Conference, Europe 2019
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