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DBMS > FeatureBase vs. IRONdb vs. MarkLogic vs. OrigoDB vs. RDF4J

System Properties Comparison FeatureBase vs. IRONdb vs. MarkLogic vs. OrigoDB vs. RDF4J

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonIRONdb  Xexclude from comparisonMarkLogic  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOperational and transactional Enterprise NoSQL databaseA fully ACID in-memory object graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Object oriented DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.featurebase.comwww.circonus.com/solutions/time-series-database/www.marklogic.comorigodb.comrdf4j.org
Technical documentationdocs.featurebase.comdocs.circonus.com/irondb/category/getting-starteddocs.marklogic.comorigodb.com/­docsrdf4j.org/­documentation
DeveloperMolecula and Pilosa Open Source ContributorsCirconus LLC.MarkLogic Corp.Robert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017201720012009 infounder the name LiveDB2004
Current release2022, May 2022V0.10.20, January 201811.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C++C#Java
Server operating systemsLinux
macOS
LinuxLinux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesUser defined using .NET types and collectionsyes
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.nonoyesno infocan be achieved using .NET
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL queriesSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL92nono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.NET Client API
HTTP API
LINQ
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.NetJava
PHP
Python
Server-side scripts infoStored proceduresyes, in Luayes infovia XQuery or JavaScriptyesyes
Triggersnonoyesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infocan act as a resource manager in an XA/JTA transactionACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes infoWrite ahead logyes 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.yesnoyes, with Range Indexesyes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsRole based authorizationno

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More resources
FeatureBaseIRONdbMarkLogicOrigoDBRDF4J infoformerly known as Sesame
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