DB-EnginesMapD bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Spark SQL

Spark SQL System Properties

Please select another system to compare it with Spark SQL.

Our visitors often compare Spark SQL with Hive, Impala and HBase.

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
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.91
Rank#35  Overall
#22  Relational DBMS
Websitespark.apache.org/­sql
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation
Initial release2014
Current releasev2.3.1, June 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0
Cloud-based infoOnly available as a cloud serviceno
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

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

3rd party products and services
Progress DataDirect: Data connectivity across standard SQL and REST

We connect data for 350+ technology partners around the globe including 8 of the top 9 Business Intelligence and Analytics platforms. We co-founded the ODBC specification and serve on the JDBC Expert Group, OData Technical Committee for REST APIs and ANSI SQL Committee.

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
Spark SQL
Recent citations in the news

Hortonworks Data Platform turns 3.0; new cloud partnerships announced
18 June 2018, ZDNet

Sr. Pentaho Big Data Engineer
5 June 2018, Built In Chicago

5 Best Open Source Frameworks For Machine Learning
5 June 2018, Technotification

Big Data Processing with Apache Spark
23 February 2018, InfoQ.com

We interrupt this revolution: Apache Spark changes the rules of the game
12 March 2018, ZDNet

provided by Google News

Job opportunities

Intern - Spark Platform Data Encoding Developer
Huawei, Bellevue, WA

Data Engineer
Eventbrite, Nashville, TN

Data Engineer
GEICO, Chevy Chase, MD

Customer Relationship Management (CRM) Data Analyst – Project Hire
DISNEY, Burbank, CA

Senior Data Engineer, Growth
Netflix, Los Gatos, CA

jobs by Indeed




Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Datastax logo

Datastax delivers Apache Cassandra as part of a database platform purpose built for IOT, Web and Mobile Apps. Download now.

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Present your product here