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DBMS > Apache IoTDB vs. jBASE vs. RDF4J vs. Rockset vs. Tibero

System Properties Comparison Apache IoTDB vs. jBASE vs. RDF4J vs. Rockset vs. Tibero

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonjBASE  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRockset  Xexclude from comparisonTibero  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 FlinkA robust multi-value DBMS comprising development tools and middlewareRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A scalable, reliable search and analytics service in the cloud, built on RocksDBA secure RDBMS, designed for easy portability from Oracle
Primary database modelTime Series DBMSMultivalue DBMSRDF storeDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.79
Rank#211  Overall
#35  Document stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteiotdb.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaserdf4j.orgrockset.comus.tmaxsoft.com/­products/­tibero
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9rdf4j.org/­documentationdocs.rockset.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software FoundationRocket Software (formerly Zumasys)Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.RocksetTmaxSoft
Initial release20181991200420192003
Current release1.1.0, April 20235.76, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C and Assembler
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
Linux
Windows
Linux
OS X
Unix
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesdynamic typingyes
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.noyesno infoingestion from XML files supportedyes
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageEmbedded SQL for jBASE in BASICnoRead-only SQL queries, including JOINsyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP RESTJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Basic
Jabbascript
Java
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyesyesnoPersistent Stored Procedure (PSM)
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneAutomatic shardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno infoplanned for next version
User concepts infoAccess controlyesAccess rights can be defined down to the item levelnoAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Apache IoTDBjBASERDF4J infoformerly known as SesameRocksetTibero
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