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DBMS > MySQL vs. Spark SQL vs. Trafodion

System Properties Comparison MySQL vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionWidely used open source RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMS infoKey/Value like access via memcached APIRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1182.79
Rank#2  Overall
#2  Relational DBMS
Score20.15
Rank#36  Overall
#22  Relational DBMS
Score0.63
Rank#254  Overall
#117  Relational DBMS
Websitewww.mysql.comspark.apache.org/­sqltrafodion.apache.org
Technical documentationdev.mysql.com/­docspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org
DeveloperOracle infosince 2010, originally MySQL AB, then SunApache Software FoundationApache Software Foundation, originally developed by HP
Initial release199520142014
Current release8.0.32, January 20233.3.0 ( 2.13), June 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ScalaC++, Java
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
ADO.NET
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
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoproprietary syntaxnoJava Stored Procedures
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage enginenoACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesnofine grained access rights according to SQL-standard

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More resources
MySQLSpark SQLTrafodion
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