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DBMS > GRAKN.AI vs. GridDB

System Properties Comparison GRAKN.AI vs. GridDB

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Our visitors often compare GRAKN.AI and GridDB with Cassandra, MongoDB and TigerGraph.

Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Scalable in-memory time series database optimized for IoT and Big Data
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.
Time Series DBMS
Secondary database modelsKey-value store
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
Score0.57
Rank#197  Overall
#10  Time Series DBMS
Websitegrakn.aigriddb.net
Technical documentationdev.grakn.ai/­docsgriddb.net/­en/­docs/­documents/­1-1_what-is-griddb.php
DeveloperGrakn Labs LtdToshiba Corporation
Initial release20162013
Current release1.5.8, August 20194.2, June 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also 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.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestamp
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
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL92 (advanced edition only), SQL-like TQL (Toshiba Query Language)
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
Proprietary protocol
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnono
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 CassandraMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache ZookeeperConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container level
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 progressAccess rights for users can be defined per database
More information provided by the system vendor
GRAKN.AIGridDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

Related products and services

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

More resources
GRAKN.AIGridDB
Conferences and events

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

Recent citations in the news

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

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News




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