DBMS > Greenplum vs. PostgreSQL vs. Spark SQL
System Properties Comparison Greenplum vs. PostgreSQL vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||Greenplum Xexclude from comparison||PostgreSQL Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.||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||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||Pivotal Software Inc.||PostgreSQL Global Development Group www.postgresql.org/developer||Apache Software Foundation|
|Initial release||2005||1989 1989: Postgres, 1996: PostgreSQL||2014|
|Current release||6.7.1, April 2020||14.0, September 2021||3.1.1, March 2021|
|License Commercial or Open Source||Open Source Apache 2.0||Open Source BSD||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||no||no|
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|ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.|
|Server operating systems||Linux||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 since Version 4.2||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||yes||yes standard with numerous extensions||SQL-like DML and DDL statements|
|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.||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Source-replica replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||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||no|
More information provided by the system vendor
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|SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
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