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DBMS > IRONdb vs. Kinetica vs. ObjectBox vs. Prometheus vs. RDF4J

System Properties Comparison IRONdb vs. Kinetica vs. ObjectBox vs. Prometheus vs. RDF4J

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonObjectBox  Xexclude from comparisonPrometheus  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 distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsExtremely fast embedded database for small devices, IoT and MobileOpen-source Time Series DBMS and monitoring systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSRelational DBMSObject oriented DBMSTime Series DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.circonus.com/solutions/time-series-database/www.kinetica.comobjectbox.ioprometheus.iordf4j.org
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comdocs.objectbox.ioprometheus.io/­docsrdf4j.org/­documentation
DeveloperCirconus LLC.KineticaObjectBox LimitedSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20172012201720152004
Current releaseV0.10.20, January 20187.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoApache 2.0Open 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 and C++C, C++C and C++GoJava
Server operating systemsLinuxLinuxAndroid
iOS
Linux
macOS
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesNumeric data onlyyes
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 infoImport of XML data possible
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsnonono
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
Proprietary native APIRESTful HTTP/JSON APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes, in Luauser defined functionsnonoyes
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationonline/offline synchronization between client and serveryes infoby Federationnone
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 or Eventual Consistency depending on configurationImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlnoAccess rights for users and roles on table levelyesnono
More information provided by the system vendor
IRONdbKineticaObjectBoxPrometheusRDF4J infoformerly known as Sesame
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More resources
IRONdbKineticaObjectBoxPrometheusRDF4J infoformerly known as Sesame
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