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DBMS > BoltDB vs. HBase vs. Interbase vs. IRONdb vs. RDF4J

System Properties Comparison BoltDB vs. HBase vs. Interbase vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHBase  Xexclude from comparisonInterbase  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 BigTableLight-weight proven RDBMS infooriginally from BorlandA 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 storeRelational DBMSTime 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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­boltdb/­bolthbase.apache.orgwww.embarcadero.com/­products/­interbasewww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationhbase.apache.org/­book.htmldocs.embarcadero.com/­products/­interbasedocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetEmbarcaderoCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132008198420172004
Current release2.3.4, January 2021InterBase 2020, December 2019V0.10.20, 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaCC and C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Android
iOS
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-free, schema definition possibleyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyesyes 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.nonono infoexport as XML data possibleno
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnonoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
HTTP 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
.Net
C
C++
Delphi
Java
Object Pascal
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 Javayes infoInterbase procedure and trigger languageyes, in Luayes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Interbase Change Viewsconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesSingle row ACID (across millions of columns)ACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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.noyesyesno
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardnono

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More resources
BoltDBHBaseInterbaseIRONdbRDF4J infoformerly known as Sesame
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