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DBMS > BoltDB vs. HBase vs. IBM Cloudant vs. IRONdb vs. RDF4J

System Properties Comparison BoltDB vs. HBase vs. IBM Cloudant vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.Wide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering based on Apache CouchDBA 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.
Primary database modelKey-value storeWide column storeDocument storeTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­boltdb/­bolthbase.apache.orgwww.ibm.com/­products/­cloudantwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationhbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudantdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Circonus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132008201020172004
Current release2.3.4, January 2021V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaErlangC and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
hostedLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROnoyes infotext, numeric, histogramsyes
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.nononono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGoC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptyes, in Luayes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesSingle row ACID (across millions of columns)no infoatomic operations within a document possiblenoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesnono
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per databasenono

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More resources
BoltDBHBaseIBM CloudantIRONdbRDF4J infoformerly known as Sesame
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