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DBMS > IRONdb vs. RDF4J vs. RethinkDB vs. Teradata

System Properties Comparison IRONdb vs. RDF4J vs. RethinkDB vs. Teradata

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRethinkDB  Xexclude from comparisonTeradata  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.DBMS for the Web with a mechanism to push updated query results to applications in realtime.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSRDF storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#230  Overall
#9  RDF stores
Score2.74
Rank#105  Overall
#19  Document stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/rdf4j.orgrethinkdb.comwww.teradata.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationrethinkdb.com/­docsdocs.teradata.com
DeveloperCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.The Linux Foundation infosince July 2017Teradata
Initial release2017200420091984
Current releaseV0.10.20, January 20182.4.1, August 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes infostring, binary, float, bool, date, geometryyes
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.nonoyes
Secondary indexesnoyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes, in Luayesyes infoUDFs, stored procedures, table functions in parallel
TriggersnoyesClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneSharding inforange basedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyes 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.nonoyes
User concepts infoAccess controlnonoyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
IRONdbRDF4J infoformerly known as SesameRethinkDBTeradata
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