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DBMS > Apache IoTDB vs. BigObject vs. Blueflood vs. RDFox vs. UniData,UniVerse

System Properties Comparison Apache IoTDB vs. BigObject vs. Blueflood vs. RDFox vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBigObject  Xexclude from comparisonBlueflood  Xexclude from comparisonRDFox  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
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 FlinkAnalytic DBMS for real-time computations and queriesScalable TimeSeries DBMS based on CassandraHigh performance knowledge graph and semantic reasoning engineMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSGraph DBMS
RDF store
Multivalue 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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websiteiotdb.apache.orgbigobject.ioblueflood.iowww.oxfordsemantic.techwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.bigobject.iogithub.com/­rax-maas/­blueflood/­wikidocs.oxfordsemantic.techdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software FoundationBigObject, Inc.RackspaceOxford Semantic TechnologiesRocket Software
Initial release20182015201320171985
Current release1.1.0, April 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoApache 2.0commercialcommercial
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 languageJavaJavaC++C
Server operating systemsAll OS with a Java VM (>= 1.8)Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Linux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyespredefined schemeyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnonoyes
APIs and other access methodsJDBC
Native API
fluentd
ODBC
RESTful HTTP API
HTTP RESTRESTful HTTP API
SPARQL 1.1
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
Java
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesLuanoyes
Triggersyesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneselectable replication factor infobased on Cassandrareplication via a shared file systemSource-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
noneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
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.yesyesnoyes
User concepts infoAccess controlyesnonoRoles, resources, and access typesAccess rights according to SQL-standard and operating system based

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More resources
Apache IoTDBBigObjectBluefloodRDFoxUniData,UniVerse
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