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DBMS > mSQL vs. Oracle Coherence vs. OrigoDB vs. Spark SQL

System Properties Comparison mSQL vs. Oracle Coherence vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonOracle Coherence  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSOracles in-memory data grid solutionA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitehughestech.com.au/­products/­msqlwww.oracle.com/­java/­coherenceorigodb.comspark.apache.org/­sql
Technical documentationdocs.oracle.com/­en/­middleware/­standalone/­coherenceorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHughes TechnologiesOracleRobert Friberg et alApache Software Foundation
Initial release199420072009 infounder the name LiveDB2014
Current release4.4, October 202114.1, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree licenses can be providedcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC#Scala
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesyesnoyesno
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JCache
JPA
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C++
Java
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersnoyes infoLive Eventsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with selectable consistency levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurableACIDno
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationRole based authorizationno

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More resources
mSQL infoMini SQLOracle CoherenceOrigoDBSpark SQL
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