DBMS > PostgreSQL vs. SiteWhere
System Properties Comparison PostgreSQL vs. SiteWhere
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||SiteWhere Xexclude from comparison|
|Description||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 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||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||SiteWhere|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2010|
|Current release||12.0, October 2019|
|License Commercial or Open Source||Open Source BSD||Open Source Common Public Attribution License Version 1.0|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||FreeBSD|
|Data scheme||yes||predefined scheme|
|Typing predefined data types such as float or date||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.||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||yes standard with numerous extensions||no|
|APIs and other access methods||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.|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding based on HBase|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave 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|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept|
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|Related products and services|
|3rd parties||General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.|
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
pgDash: In-Depth PostgreSQL Monitoring.
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Conferences and events|
PostgreSQL Conference, Europe 2019
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