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DBMS > GRAKN.AI vs. MonetDB vs. RDF4J

System Properties Comparison GRAKN.AI vs. MonetDB vs. RDF4J

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonMonetDB  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 relational database management system that stores data in columnsRDF4J 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.
Relational DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score1.74
Rank#119  Overall
#58  Relational DBMS
Score0.40
Rank#219  Overall
#10  RDF stores
Websitegrakn.aiwww.monetdb.orgrdf4j.org
Technical documentationdev.grakn.ai/­docswww.monetdb.org/­Documentationdocs.rdf4j.org
DeveloperGrakn Labs LtdMonetDB BVSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201620042004
Current release1.6.1, December 2019Apr2019, April 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMozilla Public License 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java 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
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandranone infoMaster-slave replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID 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.no
User concepts infoAccess controlyes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standardno
More information provided by the system vendor
GRAKN.AIMonetDBRDF4J infoformerly known as Sesame
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

Remote Tables and Authorization
10 August 2018

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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
GRAKN.AIMonetDBRDF4J infoformerly known as Sesame
Conferences and events

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

Recent citations in the news

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

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15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

MonetDB Solutions secures investment from ServiceNow
1 October 2019, Centrum Wiskunde & Informatica (CWI)

Big Data Career Notes: November 2019 Edition
15 November 2019, Datanami

RDBMS Software Market Impressive Gains including key players Microsoft, Oracle, PostgreSQL Global Development Group, SQLite
11 December 2019, Techi Labs

Global RDBMS Software Market Competitor Landscape, Growth, Opportunity Analysis,Trends & Forecast 2019-2024
11 December 2019, Correspondent 24

Global RDBMS Software Market Insights, New Project Investment and Potential Growth Scope
26 November 2019, Tech Estate Today

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext GraphDB - Handling Massive Loads, Queries and Inferencing in Real Time.
10 July 2019, KMWorld Magazine

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

GraphDB 9.0 Open Sources Its Front End and Engine Plugins to Support Knowledge Graph Solutions
7 October 2019, Database Trends and Applications

provided by Google News

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