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DBMS > GRAKN.AI vs. MariaDB

System Properties Comparison GRAKN.AI vs. MariaDB

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Our visitors often compare GRAKN.AI and MariaDB with Neo4j, ArangoDB and OrientDB.

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
Score0.09
Rank#275  Overall
#27  Graph DBMS
#124  Relational DBMS
Score84.31
Rank#12  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 release1.4.3, December 201810.3.13, February 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.
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
Unix
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 methodsJava API
Proprietary protocol infoGraql
RESTful HTTP API
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languagesAll JVM based languages
Groovy
Java
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 systemEventual Consistency
Immediate Consistency infoon in-memory graph
Immediate Consistency
Foreign keys infoReferential integrityyesyes 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.yesyes 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.AI makes working with complex data easy by providing: An ontology as a flexible...
» more
Open source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesExpressive data model: Grakn allows you to model the real world. Logical integrity...
» more
High availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenariosSemantic Search: GRAKN.AI allows you to accurately understanding of a query's intent...
» 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 modelsOpen Source (GPLv3) and Commercial. The commercial license will be priced based cluster...
» more
Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

Azure Database for MariaDB: Easily deploy applications to the cloud.
» more

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

More resources
GRAKN.AIMariaDB
DB-Engines blog posts

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2 February 2016, Matthias Gelbmann

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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

What Is an Ontology?
15 March 2017, DZone News

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

Oracle unveils Bristol accelerator contenders
11 July 2018, Cloud Pro

provided by Google News

MariaDB Announces New Enterprise Server
27 February 2019, AiThority

Walgreens turns to MariaDB as part of open source push
19 March 2019, Networks Asia

MariaDB CEO on the open source enterprise – we can bridge the gap between bare metal and microservices
6 March 2019, Diginomica

MariaDB announces new enterprise server version
27 February 2019, iTWire

What is MariaDB Platform X3?
28 February 2019, ComputerworldUK

provided by Google News

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