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DBMS > CrateDB vs. IRONdb vs. RDF4J

System Properties Comparison CrateDB vs. IRONdb vs. RDF4J

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneA 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 DBMS
Search engine
Time Series DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#182  Overall
#92  Relational DBMS
#12  Search engines
Score0.05
Rank#314  Overall
#27  Time Series DBMS
Score0.37
Rank#223  Overall
#10  RDF stores
Websitecrate.iowww.irondb.iordf4j.org
Technical documentationcrate.io/­docswww.irondb.io/­docsdocs.rdf4j.org
DeveloperCrateCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201320172004
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java 7 VMLinuxLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes 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 indexesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraintsSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsMQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.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 proceduresuser defined functionsyes, in Luayes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
User concepts infoAccess controlrights management via user accountsnono
More information provided by the system vendor
CrateDBIRONdbRDF4J infoformerly known as Sesame
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
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Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
IRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Only TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
IRONdb is licensed under a subscription model based on the number of active metrics...
» more

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More resources
CrateDBIRONdbRDF4J infoformerly known as Sesame
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