DBMS > Alibaba Cloud HybridDB vs. PostgreSQL vs. SiteWhere
System Properties Comparison Alibaba Cloud HybridDB vs. PostgreSQL vs. SiteWhere
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud HybridDB Xexclude from comparison||PostgreSQL Xexclude from comparison||SiteWhere Xexclude from comparison|
|Description||HybridDB is an online MPP (Massively Parallel Processing) data warehousing service based on Greenplum||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||Document store|
|Developer||Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group||PostgreSQL Global Development Group www.postgresql.org/developer||SiteWhere|
|Initial release||2016||1989 1989: Postgres, 1996: PostgreSQL||2010|
|Current release||11.5, August 2019|
|License Commercial or Open Source||commercial||Open Source BSD||Open Source Common Public Attribution License Version 1.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||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.||yes||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||C|
|Server-side scripts Stored procedures||yes||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 Implicit feature of the cloud service||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding based on HBase|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||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||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||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.||no||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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|Related products and services|
|3rd parties||2ndQuadrant: PostgreSQL Solutions for the Enterprise.|
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pgDash: In-Depth PostgreSQL Monitoring.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Alibaba Cloud HybridDB||PostgreSQL||SiteWhere|
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Conferences and events|
PostgreSQL Conference, Asia 2019
PostgreSQL Conference, Europe 2019
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