DBMS > mSQL vs. PostgreSQL vs. Sadas Engine
System Properties Comparison mSQL vs. PostgreSQL vs. Sadas Engine
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|Editorial information provided by DB-Engines|
|Name||mSQL Mini SQL Xexclude from comparison||PostgreSQL Xexclude from comparison||Sadas Engine Xexclude from comparison|
|Description||mSQL (Mini SQL) is a simple and lightweight RDBMS||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse 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||Hughes Technologies||PostgreSQL Global Development Group www.postgresql.org/developer||SADAS s.r.l.|
|Initial release||1994||1989 1989: Postgres, 1996: PostgreSQL||2006|
|Current release||4.2, April 2019||12.4, August 2020||8.0|
|License Commercial or Open Source||commercial free licenses can be provided||Open Source BSD||commercial free trial version available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||AIX|
|Typing predefined data types such as float or date||yes||yes||yes|
|no||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||A subset of ANSI SQL is implemented no subqueries, aggregate functions, views, foreign keys, triggers||yes standard with numerous extensions||yes|
|APIs and other access methods||JDBC|
native C library
streaming API for large objects
|Supported programming languages||C|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Partitioning methods Methods for storing different data on different nodes||none||partitioning by range, list and (since PostgreSQL 11) by hash||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||none||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||none||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID|
|Concurrency Support for concurrent manipulation of data||no||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|no||no||yes managed by 'Learn by Usage'|
|User concepts Access control||no||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard|
More information provided by the system vendor
|Related products and services|
|3rd parties||General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.|
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
pgDash: In-Depth PostgreSQL Monitoring.
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
|mSQL Mini SQL||PostgreSQL||Sadas Engine|
|DB-Engines blog posts|
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