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DBMS > GRAKN.AI vs. IBM Db2 warehouse

System Properties Comparison GRAKN.AI vs. IBM Db2 warehouse

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Our visitors often compare GRAKN.AI and IBM Db2 warehouse with MongoDB, Microsoft Azure Cosmos DB and PostgreSQL.

Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Cloud-based data warehousing service
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#256  Overall
#21  Graph DBMS
#120  Relational DBMS
Score1.99
Rank#114  Overall
#56  Relational DBMS
Websitegrakn.aiwww.ibm.com/­products/­db2-warehouse
Technical documentationdev.grakn.ai/­docs
DeveloperGrakn Labs LtdIBM
Initial release20162014
Current release1.5.8, August 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyesyes
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.nono infoImport/export of XML data possible
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoPL/SQL, SQL PL
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes
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
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 progressfine grained access rights according to SQL-standard
More information provided by the system vendor
GRAKN.AIIBM Db2 warehouse infoformerly named IBM dashDB
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.AIIBM Db2 warehouse infoformerly named IBM dashDB
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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Job opportunities

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