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DBMS > PostgreSQL vs. Spark SQL

System Properties Comparison PostgreSQL vs. Spark SQL

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Our visitors often compare PostgreSQL and Spark SQL with Microsoft SQL Server, Hive and MySQL.

Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score622.72
Rank#4  Overall
#4  Relational DBMS
Score22.58
Rank#36  Overall
#22  Relational DBMS
Websitewww.postgresql.orgspark.apache.org/­sql
Technical documentationwww.postgresql.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation
Initial release1989 info1989: Postgres, 1996: PostgreSQL2014
Current release14.5, August 20223.3.0 ( 2.13), June 2022
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.
  • ScaleGrid for PostgreSQL: Fully managed PostgreSQL DBaaS hosting On-Premises and on clouds such as AWS, Azure, GCP and DigitalOcean with no vendor lock-in. Leverage any extension and get SSH access.
Implementation languageCScala
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesno
SQL infoSupport of SQLyes infostandard with numerous extensionsSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardno

More information provided by the system vendor

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More resources
PostgreSQLSpark SQL
DB-Engines blog posts

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