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DBMS > Oracle vs. Percona Server for MySQL vs. Spark SQL

System Properties Comparison Oracle vs. Percona Server for MySQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameOracle  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWidely used RDBMSEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Score2.35
Rank#125  Overall
#59  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitewww.oracle.com/­databasewww.percona.com/­software/­mysql-database/­percona-serverspark.apache.org/­sql
Technical documentationdocs.oracle.com/­en/­databasewww.percona.com/­downloads/­Percona-Server-LATESTspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOraclePerconaApache Software Foundation
Initial release198020082014
Current release23c, September 20238.0.36-28, 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoGPL version 2Open 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++C and C++Scala
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
LinuxLinux
OS X
Windows
Data schemeyes infoSchemaless in JSON and XML columnsyesyes
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.yesyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresPL/SQL infoalso stored procedures in Java possibleyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoisolation level can be parameterizedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
OraclePercona Server for MySQLSpark SQL
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