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DBMS > Spark SQL

Spark SQL System Properties

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Editorial information provided by DB-Engines
NameSpark SQL
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processing
Database modelRelational DBMS
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score7.32
Rank#40  Overall
#25  Relational DBMS
Websitespark.apache.org/­sql
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation
Initial release2014
Current releasev2.1.0, December 2016
License Commercial or Open SourceOpen Source Apache 2.0
Cloud-based Only available as a cloud serviceno
Implementation languageScala, Java,Python, R
Server operating systemsLinux
OS X
Windows
Data schemeyes
Typing predefined data types such as float or dateyes
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.no
Secondary indexesno
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no Queries similar to SQL syntax
APIs and other access methodsJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts Stored proceduresno
Triggersno
Partitioning methods Methods for storing different data on different nodesyes, utilizing Spark Core
Replication methods Methods for redundantly storing data on multiple nodesnone
Foreign keys Referential integrityno
Transaction concepts Support to ensure data integrity after non-atomic manipulations of datano
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.no
User concepts Access controlno

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Spark SQL
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