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DBMS > Hive vs. HyperSQL vs. IRONdb vs. RDF4J

System Properties Comparison Hive vs. HyperSQL vs. IRONdb vs. RDF4J

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMultithreaded, 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 modelRelational DBMSRelational DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.65
Rank#14  Overall
#9  Relational DBMS
Score4.90
Rank#65  Overall
#35  Relational DBMS
Score0.06
Rank#312  Overall
#27  Time Series DBMS
Score0.48
Rank#215  Overall
#9  RDF stores
Websitehive.apache.orghsqldb.orgwww.irondb.iordf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehsqldb.org/­web/­hsqlDocsFrame.htmlwww.irondb.io/­docsrdf4j.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012200120172004
Current release3.1.2, August 20192.5.0, June 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infobased on BSD licensecommercialOpen 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 languageJavaJavaC and C++Java
Server operating systemsAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes 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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
ODBC
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++
Java
PHP
Python
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 proceduresyes infouser defined functions and integration of map-reduceJava, SQLyes, in Luayes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID 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.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnono
More information provided by the system vendor
HiveHyperSQL infoalso known as HSQLDBIRONdbRDF4J infoformerly known as Sesame
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more

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HiveHyperSQL infoalso known as HSQLDBIRONdbRDF4J infoformerly known as Sesame
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