DBMS > PostgreSQL vs. Tkrzw vs. Valentina Server
System Properties Comparison PostgreSQL vs. Tkrzw vs. Valentina Server
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet Xexclude from comparison||Valentina Server Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet||Object-relational database and reports server|
|Primary database model||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Key-value store||Relational DBMS|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Mikio Hirabayashi||Paradigma Software|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2020||1999|
|Current release||15.1, November 2022||0.9.3, August 2020||5.7.5|
|License Commercial or Open Source||Open Source BSD||Open Source Apache Version 2.0||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||FreeBSD|
|Typing predefined data types such as float or date||yes||no||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.||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||yes standard with numerous extensions||no||yes|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no||yes|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||none|
|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|
|Foreign keys Referential integrity||yes||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||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.||no||yes using specific database classes||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||no||fine grained access rights according to SQL-standard|
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|Related products and services|
|3rd parties||Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.|
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|PostgreSQL||Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet||Valentina Server|
|DB-Engines blog posts|
Snowflake is the DBMS of the Year 2022, defending the title from last year
|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
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