DBMS > PostgreSQL vs. Spark SQL
System Properties Comparison PostgreSQL vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||PostgreSQL Xexclude from comparison||Spark SQL 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|
|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|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Apache Software Foundation|
|Initial release||1989 1989: Postgres, 1996: PostgreSQL||2014|
|Current release||12.0, October 2019||v2.4.4, September 2019|
|License Commercial or Open Source||Open Source BSD||Open Source Apache 2.0|
|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|
|Typing predefined data types such as float or date||yes||yes|
|yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||yes standard with numerous extensions||SQL-like DML and DDL statements|
|APIs and other access methods||ADO.NET|
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.||no|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-slave replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||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|
|User concepts Access control||fine grained access rights according to SQL-standard||no|
More information provided by the system vendor
|Related products and services|
|3rd parties||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.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
pgDash: In-Depth PostgreSQL Monitoring.
DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
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PostgreSQL is the DBMS of the Year 2018
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