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DBMS > Cachelot.io vs. Grakn vs. IRONdb vs. RDF4J

System Properties Comparison Cachelot.io vs. Grakn vs. IRONdb vs. RDF4J

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonGrakn  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionIn-memory caching systemGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A 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 modelKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Time Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#337  Overall
#60  Key-value stores
Score0.60
Rank#206  Overall
#17  Graph DBMS
#99  Relational DBMS
Score0.06
Rank#316  Overall
#28  Time Series DBMS
Score0.48
Rank#220  Overall
#9  RDF stores
Websitecachelot.iograkn.aiwww.irondb.iordf4j.org
Technical documentationdev.grakn.ai/­docswww.irondb.io/­docsrdf4j.org/­documentation
DeveloperGrakn LabsCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2015201620172004
Current release1.8.0, June 2020V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC and C++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyes 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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsMemcached protocolconsole (shell)
gRPC protocol
Workbase (visualisation software)
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.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 proceduresnonoyes, in Luayes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using CassandraAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication infoby using Cassandraconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynono infosubstituted by the relationship featureno
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 persistentnoyesyesyes 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.nonono
User concepts infoAccess controlnoyes infoat REST API level; other APIs in progressnono
More information provided by the system vendor
Cachelot.ioGraknIRONdbRDF4J infoformerly known as Sesame
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Real 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 modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
IRONdb is licensed under a subscription model based on the number of active metrics...
» more
News

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Cachelot.ioGraknIRONdbRDF4J infoformerly known as Sesame
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