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DBMS > Apache IoTDB vs. Citus vs. H2 vs. InterSystems Caché vs. RDFox

System Properties Comparison Apache IoTDB vs. Citus vs. H2 vs. InterSystems Caché vs. RDFox

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCitus  Xexclude from comparisonH2  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRDFox  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A multi-model DBMS and application serverHigh performance knowledge graph and semantic reasoning engine
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
RDF store
Secondary database modelsDocument storeSpatial DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteiotdb.apache.orgwww.citusdata.comwww.h2database.comwww.intersystems.com/­products/­cachewww.oxfordsemantic.tech
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.citusdata.comwww.h2database.com/­html/­main.htmldocs.intersystems.comdocs.oxfordsemantic.tech
DeveloperApache Software FoundationThomas MuellerInterSystemsOxford Semantic Technologies
Initial release20182010200519972017
Current release1.1.0, April 20238.1, December 20182.2.220, July 20232018.1.4, May 20206.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesdepending on used data modelyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalitynoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infostandard, with numerous extensionsyesyesno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaC#
C++
Java
C
Java
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Procedures and User-Defined Functionsyes
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication infoother methods possible by using 3rd party extensionsWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationreplication via a shared file system
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
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and rolesRoles, resources, and access types

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More resources
Apache IoTDBCitusH2InterSystems CachéRDFox
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