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DBMS > GRAKN.AI vs. MariaDB

System Properties Comparison GRAKN.AI vs. MariaDB

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Editorial information provided by DB-Engines
NameGRAKN.AI  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.MySQL 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.
Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#257  Overall
#23  Graph DBMS
#120  Relational DBMS
Score86.77
Rank#13  Overall
#8  Relational DBMS
Websitegrakn.aimariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationdev.grakn.ai/­docsmariadb.com/­kb/­en/­library
DeveloperGrakn Labs LtdMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release20162009
Current release1.5.8, August 201910.4.8, September 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MariaDB Managed Service: A customized MariaDB deployment fully managed by the experts at MariaDB in the cloud of your choice. Keeps you up to date with features, upgrades, hotfixes and security patches.
  • Azure Database for MariaDB: A fully managed, scalable MariaDB relational database with high availability and security built in at no extra cost
Implementation languageJavaC and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensions
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
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 proceduresnoyes infoPL/SQL compatibility added with version 10.3
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraHorizontal 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 replication infousing MariaDB Galera Cluster
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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 progressfine grained access rights according to SQL-standard
More information provided by the system vendor
GRAKN.AIMariaDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» 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
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
Web, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersBooking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsMariaDB 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
Related products and services
3rd partiesAzure Database for MariaDB: Easily deploy applications to the cloud.
» more

Navicat for MariaDB provides a native environment for MariaDB database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GRAKN.AIMariaDB
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Conferences and events

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

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

Recent citations in the news

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

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

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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

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DBmaestro Brings Database Release Automation to MySQL, MariaDB and RDS
15 October 2019, PRNewswire

MariaDB and Palisade Compliance Partner to Help Companies Get Unstuck From Oracle
23 September 2019, EnterpriseTalk

SmartStyle Turns to Percona Support to Provide Enhanced Customer Service
24 September 2019, GlobeNewswire

Percona Open Source Software Database Survey Reveals Shift Toward Diversity
15 October 2019, Yahoo Finance

We're free in 3... 2... 1! Amazon unhooks its last Oracle database, nothing breaks and life goes on
16 October 2019, The Register

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