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DBMS > GRAKN.AI vs. GraphDB vs. JanusGraph vs. MariaDB

System Properties Comparison GRAKN.AI vs. GraphDB vs. JanusGraph vs. MariaDB

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMariaDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. With MariaDB ColumnStore a column-oriented storage engine is available too.
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.
Graph DBMS
RDF store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score1.77
Rank#119  Overall
#6  Graph DBMS
Score87.45
Rank#13  Overall
#8  Relational DBMS
Websitegrakn.aigraphdb.ontotext.comjanusgraph.orgmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.orgmariadb.com/­kb/­en/­library
DeveloperGrakn Labs LtdOntotextLinux Foundation; originally developed as Titan by AureliusMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release2016200020172009
Current release1.6.2, January 20208.8, January 20190.4.0, July 201910.4.11, December 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC and C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoyes infowith proprietary extensions
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJava Server Pluginyesyes infoPL/SQL compatibility added with version 10.3
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Horizontal partitioning, sharding with Spider storage engine or Galera cluster infoPartitioning by range, list, hash, key
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyesMaster-master replication infousing MariaDB Galera Cluster
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoConstraint checkingyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infonot for in-memory storage engine
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infowith MEMORY storage engine
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard
More information provided by the system vendor
GRAKN.AIGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanMariaDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Open source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
High availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Metadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Web, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Booking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

A Graphful of Investment Opportunities
10 January 2020

Ontotext’s Most Popular Blog Posts for 2019
30 December 2019

A New Hope: The Rise of the Knowledge Graph
6 December 2019

The New Improved and Open GraphDB
7 November 2019

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesAzure Database for MariaDB: Easily deploy applications to the cloud.
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Navicat for MariaDB provides a native environment for MariaDB database management and development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GRAKN.AIGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanMariaDB
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Conferences and events

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

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019 (finished)

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019 (finished)

MariaDB OpenWorks 2020
New York City, USA, 4-6 May 2020

Recent citations in the news

Semantic Knowledge Graphing Market With Top Companies Google,
21 January 2020, openPR

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

What Is an Ontology?
15 March 2017, DZone News

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

provided by Google News

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

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

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

provided by Google News

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

Comcast, FireEye, Numberly Among Winners of 2019 Scylla User Awards
6 November 2019, GlobeNewswire

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

AWS IAM, Amazon Neptune RDF, Microsoft Azure Cosmos DB, and Neo4j 3.5 Support Enhances Data Access and Enterprise Security
9 May 2019, PR Web

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

provided by Google News

MariaDB Announces Cloud Native Open Source DB
20 January 2020, iProgrammer

MariaDB goes bigly on cloud-native smart apps
17 January 2020, ComputerWeekly.com

MariaDB Platform X4 Enables Modern Apps Using Smart Transactions and Cloud-Native Data Storage
15 January 2020, Database Trends and Applications

MariaDB Platform Goes Cloud Native, Powers a New Generation of Modern Applications with Smart Transactions
14 January 2020, PRNewswire

MariaDB X4 brings smart transactions to open source database
16 January 2020, TechTarget

provided by Google News

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