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DBMS > IRONdb vs. RDF4J vs. SiteWhere vs. Sphinx vs. UniData,UniVerse

System Properties Comparison IRONdb vs. RDF4J vs. SiteWhere vs. Sphinx vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA 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.M2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databasesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSRDF storeTime Series DBMSSearch engineMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.circonus.com/solutions/time-series-database/rdf4j.orggithub.com/­sitewhere/­sitewheresphinxsearch.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationsitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SiteWhereSphinx Technologies Inc.Rocket Software
Initial release20172004201020011985
Current releaseV0.10.20, January 20183.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaJavaC++C
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyes infoRDF Schemaspredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesnooptional
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 indexesnoyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP RESTProprietary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes, in Luayesnoyes
Triggersnoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneselectable replication factor infobased on HBasenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonoUsers with fine-grained authorization conceptnoAccess rights according to SQL-standard and operating system based

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More resources
IRONdbRDF4J infoformerly known as SesameSiteWhereSphinxUniData,UniVerse
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