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DBMS > IRONdb vs. RDF4J vs. Splunk vs. Vitess

System Properties Comparison IRONdb vs. RDF4J vs. Splunk vs. Vitess

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplunk  Xexclude from comparisonVitess  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.Analytics Platform for Big DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSRDF storeSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#230  Overall
#9  RDF stores
Score86.45
Rank#14  Overall
#2  Search engines
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/rdf4j.orgwww.splunk.comvitess.io
Technical documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.splunk.com/­Documentation/­Splunkvitess.io/­docs
DeveloperCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splunk Inc.The Linux Foundation, PlanetScale
Initial release2017200420032013
Current releaseV0.10.20, January 201815.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infoLimited free edition and free developer edition availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaGo
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes
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.noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nono infoSplunk Search Processing Language for search commandsyes infowith proprietary extensions
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
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#
Java
JavaScript
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, in Luayesyesyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnonoAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
IRONdbRDF4J infoformerly known as SesameSplunkVitess
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