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DBMS > Dragonfly vs. HBase vs. HyperSQL vs. IRONdb vs. RDF4J

System Properties Comparison Dragonfly vs. HBase vs. HyperSQL vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHBase  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  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.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceWide-column store based on Apache Hadoop and on concepts of BigTableMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA 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
Score0.41
Rank#266  Overall
#38  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
hbase.apache.orghsqldb.orgwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationwww.dragonflydb.io/­docshbase.apache.org/­book.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperDragonflyDB team and community contributorsApache Software Foundation infoApache top-level project, originally developed by PowersetCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20232008200120172004
Current release1.0, March 20232.3.4, January 20212.7.2, June 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache version 2Open Source infobased on BSD licensecommercialOpen 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 languageC++JavaJavaC and C++Java
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
OS X
Unix
Windows
Data schemescheme-freeschema-free, schema definition possibleyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysoptions 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.nononono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLnonoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJava API
RESTful HTTP API
Thrift
HTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Java
.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 proceduresLuayes infoCoprocessors in JavaJava, SQLyes, in Luayes
Triggerspublish/subscribe channels provide some trigger functionalityyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
noneconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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 dataAtomic execution of command blocks and scriptsSingle row ACID (across millions of columns)ACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
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.yesyesyesno
User concepts infoAccess controlPassword-based authenticationAccess 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
DragonflyHBaseHyperSQL infoalso known as HSQLDBIRONdbRDF4J infoformerly known as Sesame
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