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DBMS > ITTIA vs. mSQL vs. Percona Server for MySQL vs. Spark SQL

System Properties Comparison ITTIA vs. mSQL vs. Percona Server for MySQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameITTIA  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEdge Time Series DBMS with Real-Time Stream ProcessingmSQL (Mini SQL) is a simple and lightweight 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 modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.ittia.comhughestech.com.au/­products/­msqlwww.percona.com/­software/­mysql-database/­percona-serverspark.apache.org/­sql
Technical documentationwww.percona.com/­downloads/­Percona-Server-LATESTspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperITTIA L.L.C.Hughes TechnologiesPerconaApache Software Foundation
Initial release2007199420082014
Current release8.74.4, October 20218.0.36-28, 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC and C++Scala
Server operating systemsLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
OS X
Windows
Data schemeFixed schemayesyesyes
Typing infopredefined data types such as float or dateFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyesyesyes
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.nonoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
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 proceduresyesnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)noyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlDatabase file passwordsnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
ITTIAmSQL infoMini SQLPercona Server for MySQLSpark SQL
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