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DBMS > Apache IoTDB vs. mSQL vs. OrigoDB vs. RDF4J

System Properties Comparison Apache IoTDB vs. mSQL vs. OrigoDB vs. RDF4J

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#290  Overall
#24  Time Series DBMS
Score1.84
Rank#126  Overall
#61  Relational DBMS
Score0.00
Rank#353  Overall
#52  Document stores
#20  Object oriented DBMS
Score0.66
Rank#214  Overall
#9  RDF stores
Websiteiotdb.apache.orghughestech.com.au/­products/­msqlorigodb.comrdf4j.org
Technical documentationorigodb.com/­docsrdf4j.org/­documentation
DeveloperApache Software FoundationHughes TechnologiesRobert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201819942009 infounder the name LiveDB2004
Current release4.3, October 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC#Java
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyes infoRDF Schemas
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 .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsJDBCJDBC
ODBC
.NET Client API
HTTP API
LINQ
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.NetJava
PHP
Python
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudnone
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnonoRole based authorizationno

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More resources
Apache IoTDBmSQL infoMini SQLOrigoDBRDF4J infoformerly known as Sesame
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