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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
Additional database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.12
Rank#37  Overall
#23  Relational DBMS
Websitespark.apache.org/­sql
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation
Initial release2014
Current releasev2.2.0, July 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0
Cloud-based infoOnly available as a cloud serviceno
Implementation languageScala, Java,Python, R
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
Recent citations in the news

What is Apache Spark? The big data analytics platform explained
13 November 2017, Techworld Australia

Why I Think Spark Will Have the Staying Power of SQL
27 October 2017, IoT For All (blog)

The future of the future: Spark, big data insights, streaming and deep learning in the cloud
1 November 2017, ZDNet

Sparkier, faster, more: Graph databases, and Neo4j, are moving on
24 October 2017, ZDNet

Easing The Pain Of Prepping Data For AI
8 November 2017, The Next Platform

provided by Google News

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