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DBMS > Apache IoTDB vs. H2 vs. RDFox

System Properties Comparison Apache IoTDB vs. H2 vs. RDFox

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2  Xexclude from comparisonRDFox  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 SparkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.High performance knowledge graph and semantic reasoning engine
Primary database modelTime Series DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#290  Overall
#24  Time Series DBMS
Score9.72
Rank#47  Overall
#30  Relational DBMS
Score0.01
Rank#345  Overall
#19  RDF stores
Websiteiotdb.apache.orgwww.h2database.comwww.oxfordsemantic.tech
Technical documentationwww.h2database.com/­html/­main.htmldocs.oxfordsemantic.tech
DeveloperApache Software FoundationThomas Mueller
Initial release201820052017
Current release1.4.200, October 20195.2, June 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
macOS
Windows
Data schemeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
SPARQL 1.1
Supported programming languagesJavaC
Java
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a database
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency with synchronizing with the cloudImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Apache IoTDBH2RDFox
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