DBMS > HEAVY.AI vs. PostgreSQL vs. SiteWhere
System Properties Comparison HEAVY.AI vs. PostgreSQL vs. SiteWhere
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|Editorial information provided by DB-Engines|
|Name||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022 Xexclude from comparison||PostgreSQL Xexclude from comparison||SiteWhere Xexclude from comparison|
|Description||A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||M2M integration platform for persisting/querying time series data|
|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.||Time Series DBMS|
|Secondary database models||Spatial DBMS||Document store|
|Developer||HEAVY.AI, Inc.||PostgreSQL Global Development Group www.postgresql.org/developer||SiteWhere|
|Initial release||2016||1989 1989: Postgres, 1996: PostgreSQL||2010|
|Current release||5.10, January 2022||15.1, November 2022|
|License Commercial or Open Source||Open Source Apache Version 2; enterprise edition available||Open Source BSD||Open Source Common Public Attribution License Version 1.0|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++ and CUDA||C||Java|
|Server operating systems||Linux||FreeBSD|
|Data scheme||yes||yes||predefined scheme|
|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||no|
|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.|
|Partitioning methods Methods for storing different data on different nodes||Sharding Round robin||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding based on HBase|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Source-replica replication other methods possible by using 3rd party extensions||selectable replication factor based on HBase|
|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||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||no|
|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||no|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept|
More information provided by the system vendor
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|HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022||PostgreSQL||SiteWhere|
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