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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
Primary database modelRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.72
Rank#35  Overall
#21  Relational DBMS
Websitespark.apache.org/­sql
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation
Initial release2014
Current releasev2.4.3, May 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemsLinux
OS X
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesno
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno

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More resources
Spark SQL
Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

Recent citations in the news

High-performance data processing technology through a new database partitioning method
3 June 2019, EurekAlert

A Comprehensive Guide on Apache Spark and Scala Training
30 May 2019, The Future of Things

Top 15 Analytical Tools Data Scientists Must Use In 2019
28 May 2019, Analytics India Magazine

Serverless SQL Engine Targets Cloud Analytics
13 June 2019, Datanami

A Decade Later, Apache Spark Still Going Strong
8 March 2019, Datanami

provided by Google News

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