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DBMS > MySQL vs. Spark SQL

System Properties Comparison MySQL vs. Spark SQL

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Our visitors often compare MySQL and Spark SQL with MongoDB, Cassandra and Elasticsearch.

Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWidely used open source RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1253.68
Rank#2  Overall
#2  Relational DBMS
Score16.34
Rank#36  Overall
#22  Relational DBMS
Websitewww.mysql.comspark.apache.org/­sql
Technical documentationdev.mysql.com/­docspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOracle infosince 2010, originally MySQL AB, then SunApache Software Foundation
Initial release19952014
Current release8.0.17, July 2019v2.4.3, May 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen 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.
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC and C++Scala
Server operating systemsFreeBSD
Linux
OS X
Solaris
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoproprietary syntaxno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesno

More information provided by the system vendor

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Related products and services
3rd partiesSQLPro for MySQL: A simple but powerful MySQL database client available on iPhone and iPad as well as macOS.
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ScaleGrid: Fully managed MySQL-as-a-Service.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MySQLSpark SQL
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Conferences and events

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

Recent citations in the news

How to create a MySQL relational database in AWS
22 August 2019, TechRepublic

DigitalOcean launches managed MySQL and Redis database services
20 August 2019, TechCrunch

news digest: DigitalOcean announces managed databases for MySQL and Redis, Waymo's Open Dataset, and GitHub Enterprise Server 2.18 - SD Times
21 August 2019, SDTimes.com

After PostgreSQL, DigitalOcean now adds MySQL and Redis to its managed databases’ offering
20 August 2019, Packt Hub

SiteLock Extends Database Security Reach to MySQL
7 August 2019, Security Boulevard

provided by Google News

Intel Charges Spark Workloads with Optane Persistent Memory
30 July 2019, HPCwire

Intel Turbocharges Spark Workloads with Optane DCPMM
29 July 2019, Datanami

Accelerate Your Apache Spark with Intel Optane DC Persistent Memory
28 July 2019, insideHPC

Azul Systems Announces General Availability of Zing 19.07
31 July 2019, GlobeNewswire

Delta Lake gives Apache Spark data sets new powers
24 April 2019, InfoWorld

provided by Google News

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