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DBMS > Apache IoTDB vs. RDFox vs. SiriDB vs. XTDB vs. Yaacomo

System Properties Comparison Apache IoTDB vs. RDFox vs. SiriDB vs. XTDB vs. Yaacomo

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonRDFox  Xexclude from comparisonSiriDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and 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 FlinkHigh performance knowledge graph and semantic reasoning engineOpen Source Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queriesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSGraph DBMS
RDF store
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteiotdb.apache.orgwww.oxfordsemantic.techsiridb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
yaacomo.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.oxfordsemantic.techdocs.siridb.comwww.xtdb.com/­docs
DeveloperApache Software FoundationOxford Semantic TechnologiesCesbitJuxt Ltd.Q2WEB GmbH
Initial release20182017201720192009
Current release1.1.0, April 20236.0, Septermber 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT LicenseOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CClojure
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Android
Linux
Windows
Data schemeyesyes infoRDF schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes, extensible-data-notation formatyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenonolimited SQL, making use of Apache Calciteyes
APIs and other access methodsJDBC
Native API
RESTful HTTP API
SPARQL 1.1
HTTP APIHTTP REST
JDBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresyesnono
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasreplication via a shared file systemyesyes, each node contains all dataSource-replica replication
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 Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesRoles, resources, and access typessimple rights management via user accountsfine grained access rights according to SQL-standard

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More resources
Apache IoTDBRDFoxSiriDBXTDB infoformerly named CruxYaacomo
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