DBMS > OmniSci vs. PostgreSQL vs. Sadas Engine
System Properties Comparison OmniSci vs. PostgreSQL vs. Sadas Engine
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|Editorial information provided by DB-Engines|
|Name||OmniSci Formerly named 'MapD', rebranded to 'OmniSci' in September 2018 Xexclude from comparison||PostgreSQL Xexclude from comparison||Sadas Engine Xexclude from comparison|
|Description||A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs||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||Spatial DBMS||Document store|
|Developer||MapD Technologies, Inc.||PostgreSQL Global Development Group www.postgresql.org/developer||SADAS s.r.l.|
|Initial release||2016||1989 1989: Postgres, 1996: PostgreSQL||2006|
|Current release||5.6, April 2021||14.0, September 2021||8.0|
|License Commercial or Open Source||Open Source Apache Version 2; enterprise edition available||Open Source BSD||commercial free trial version available|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Implementation language||C++ and CUDA||C||C++|
|Server operating systems||Linux||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||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||yes||yes standard with numerous extensions||yes|
|APIs and other access methods||JDBC|
native C library
streaming API for large objects
|Supported programming languages||All languages supporting JDBC/ODBC/Thrift|
|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||Sharding Round robin||partitioning by range, list and (since PostgreSQL 11) by hash||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||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||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||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 managed by 'Learn by Usage'|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard|
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|OmniSci Formerly named 'MapD', rebranded to 'OmniSci' in September 2018||PostgreSQL||Sadas Engine|
|DB-Engines blog posts|
The Inexorable Rise of PostgreSQL
|Conferences and events|
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|Recent citations in the news|
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