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DBMS > IRONdb vs. OrientDB vs. RavenDB vs. RDF4J

System Properties Comparison IRONdb vs. OrientDB vs. RavenDB vs. RDF4J

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonOrientDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 simplicityMulti-model DBMS (Document, Graph, Key/Value)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Document storeRDF store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.circonus.com/solutions/time-series-database/orientdb.orgravendb.netrdf4j.org
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.orientdb.com/­docs/­last/­index.htmlravendb.net/­docsrdf4j.org/­documentation
DeveloperCirconus LLC.OrientDB LTD; CallidusCloud; SAPHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017201020102004
Current releaseV0.10.20, January 20183.2.29, March 20245.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
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#Java
Server operating systemsLinuxAll OS with a Java JDK (>= JDK 6)Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesnoyes
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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language, no joinsSQL-like query language (RQL)no
APIs and other access methodsHTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes, in LuaJava, Javascriptyesyes
TriggersnoHooksyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurableAuthorization levels configured per client per databaseno

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More resources
IRONdbOrientDBRavenDBRDF4J infoformerly known as Sesame
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