DBMS > PostgreSQL vs. Spark SQL vs. Tibero
System Properties Comparison PostgreSQL vs. Spark SQL vs. Tibero
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||Spark SQL Xexclude from comparison||Tibero Xexclude from comparison|
|Description||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Spark SQL is a component on top of 'Spark Core' for structured data processing||A secure RDBMS, designed for easy portability from Oracle|
|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.||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Apache Software Foundation||TmaxSoft|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2014||2003|
|Current release||12.0, October 2019||v2.4.4, September 2019||6, April 2015|
|License Commercial or Open Source||Open Source BSD||Open Source Apache 2.0||commercial|
|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||Scala||C and Assembler|
|Server operating systems||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.||yes specific XML-type available, but no XML query functionality.||no||yes|
|SQL Support of SQL||yes standard with numerous extensions||SQL-like DML and DDL statements||yes|
|APIs and other access methods||native C library|
streaming API for large objects
Oracle Call Interface (OCI)
|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.||no||Persistent Stored Procedure (PSM)|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||yes, utilizing Spark Core||horizontal partitioning by range, hash, list or composite|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication other methods possible by using 3rd party extensions||none||Master-master replication|
|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||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||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.||no||no||no planned for next version|
|User concepts Access control||fine grained access rights according to SQL-standard||no||fine grained access rights according to SQL-standard (SQL 92, SQL 99)|
More information provided by the system vendor
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|Related products and services|
|3rd parties||Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.|
Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
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.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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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