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DBMS > GRAKN.AI vs. Manticore Search vs. MySQL

System Properties Comparison GRAKN.AI vs. Manticore Search vs. MySQL

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonManticore Search  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Open source search engine for searching in data from different sources. Forked of and compatible with Sphinx.Widely used open source RDBMS
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.
Search engineRelational DBMS infoKey/Value like access via memcached API
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
Score0.06
Rank#304  Overall
#16  Search engines
Score1275.67
Rank#2  Overall
#2  Relational DBMS
Websitegrakn.aimanticoresearch.comwww.mysql.com
Technical documentationdev.grakn.ai/­docsdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
dev.mysql.com/­doc
DeveloperGrakn Labs LtdManticore SoftwareOracle infosince 2010, originally MySQL AB, then Sun
Initial release201620171995
Current release1.6.1, December 20198.0.18, October 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
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.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageJavaC++C and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
Proprietary protocolADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandranoneMaster-master replication
Master-slave replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressnoUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
GRAKN.AIManticore SearchMySQL
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
GRAKN.AIManticore SearchMySQL
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Conferences and events

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

Recent citations in the news

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