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DBMS > Grakn

Grakn System Properties

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Editorial information provided by DB-Engines
NameGrakn
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.
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.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#199  Overall
#16  Graph DBMS
#97  Relational DBMS
Websitegrakn.ai
Technical documentationdev.grakn.ai/­docs
DeveloperGrakn Labs
Initial release2016
Current release1.7.2, June 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceno
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
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.no
Secondary indexesyes
SQL infoSupport of SQLno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Grakn
Specific characteristics

Grakn is the knowledge graph to organise complex networks of data and making it queryable, by performing knowledge engineering.

Grakn enables:

  • Building rich knowledge models by defining type hierarchies, hyper-entities and hyper-relations.
  • Intuitively defining logical rules that produce implicit inferred knowledge based on expressive complex patterns.
  • Performing built-in distributed analytics (Pregel and MapReduce) on large datasets.
  • Using a high-level, easy to use and declarative query language to describe complex constructs within the data model.

Visit GRAKN.AI to learn more.

Competitive advantages
  • Expressive and flexible data model: The meta-schema of Grakn allows for modelling the real world, that is modelling a dataset the exact same way as it is perceived in reality.
  • Logical integrity: The expressivity of the data definition language in Grakn enables the integrity and consistency of the data beyond what is offered by any other database.
  • Machine reasoning: Rules in Grakn and type hierarchies defined within the schema set the basis for reasoning over explicitly stored data to discover deeply hidden insights.
  • Optimised query execution: Graql reduces the time and complexity of writing highly expressive queries while Grakn optimises the query traversal.
  • Analytics out of the box: The underlying model of Grakn allows for applying distributed graph analytics on the entire dataset as well as its subgraphs.

Visit Grakn and Graql to learn more.

Typical application scenarios
  • Life sciences: Grakn makes working with biological data much easier and accelerates the knowledge discovery process.
  • Financial Services: Grakn allows the integration of hugely complex financial networks of data and in a simple and intuitive way.
  • Security & defence: Grakn allows security professionals to leverage complex sources of data to make decisions in defence of national security.
  • Robotics: Grakn enables the creation of robotics and autonomous vehicles by enabling them to make the right behavioural decisions to achieve real-time tasks.
Licensing and pricing models

AGPL and Commercial.

The commercial license is priced based on cluster resources of a hosted Grakn on Google Cloud Platform and Amazon Web Services. Visit Grakn KGMS or contact our enterprise team to learn more.

News

Comparing Graql to SQL — Part 2/2
18 April 2020

Comparing Graql to SQL — Part 1/2
18 April 2020

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

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
Recent citations in the news

World Coronavirus Dispatch: Big Data in the Insurance Industry: 2018 – 2030 Analysis, Segments, Growth and Value Chain
3 June 2020, Cole of Duty

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

After COVID-19: Demand of Big Data in the Insurance Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
3 June 2020, 3rd Watch News

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

Global Trade Impact of the Coronavirus on Big Data in the Automotive Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
14 May 2020, Cole of Duty

provided by Google News




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