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DBMS > mSQL vs. OrigoDB vs. searchxml vs. Spark SQL

System Properties Comparison mSQL vs. OrigoDB vs. searchxml vs. Spark SQL

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Native XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitehughestech.com.au/­products/­msqlorigodb.comwww.searchxml.net/­category/­productsspark.apache.org/­sql
Technical documentationorigodb.com/­docswww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHughes TechnologiesRobert Friberg et alinformationpartners gmbhApache Software Foundation
Initial release19942009 infounder the name LiveDB20152014
Current release4.4, October 20211.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen SourcecommercialOpen 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 languageCC#C++Scala
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
WindowsLinux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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.nono infocan be achieved using .NETyesno
Secondary indexesyesyesyesno
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
.NET Client API
HTTP API
LINQ
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.NetC++ infomost other programming languages supported via APIsJava
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes infoon the application serverno
Triggersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizednoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoRole based authorizationDomain, group and role-based access control at the document level and for application servicesno

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More resources
mSQL infoMini SQLOrigoDBsearchxmlSpark SQL
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