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DBMS > GRAKN.AI vs. IRONdb vs. Kdb+ vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison GRAKN.AI vs. IRONdb vs. Kdb+ vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonIRONdb  Xexclude from comparisonKdb+  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionGrakn 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 simplicityHigh performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph 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 DBMSTime Series DBMSWide column storeRDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score0.06
Rank#305  Overall
#26  Time Series DBMS
Score5.50
Rank#58  Overall
#2  Time Series DBMS
Score5.01
Rank#65  Overall
#5  Wide column stores
Score0.39
Rank#220  Overall
#10  RDF stores
Websitegrakn.aiwww.irondb.iokx.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationdev.grakn.ai/­docswww.irondb.io/­docscode.kx.comdocs.rdf4j.org
DeveloperGrakn Labs LtdCirconus LLC.Kx Systems, a division of First Derivatives plcMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201620172000 infokdb was released 2000, kdb+ in 200320122004
Current release1.6.1, December 2019V0.10.20, January 20183.6, May 2018
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialcommercial infofree 32-bit versioncommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++qJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
hostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes 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.nonoyesno
Secondary indexesyesnoyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (q)nono
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll 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
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes, in Luauser defined functionsnoyes
Triggersnonoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraAutomatic, metric affinity per nodehorizontal partitioningSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandraconfigurable replication factor, datacenter awareMaster-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingACID 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.nonoyesno
User concepts infoAccess controlyes infoat REST API level; other APIs in progressnorights management via user accountsAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
GRAKN.AIIRONdbKdb+Microsoft Azure Table StorageRDF4J 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
Integrated columnar database & programming system for streaming, real time and historical...
» 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
provides seamless scalability; runs on industry standard server platforms; is top-ranked...
» 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
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» 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
upon request
» more

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More resources
GRAKN.AIIRONdbKdb+Microsoft Azure Table StorageRDF4J infoformerly known as Sesame
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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

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