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DBMS > Dgraph vs. GRAKN.AI

System Properties Comparison Dgraph vs. GRAKN.AI

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Our visitors often compare Dgraph and GRAKN.AI with Neo4j, GraphDB and JanusGraph.

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGRAKN.AI  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.
Primary database modelGraph DBMSGraph 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
Score1.07
Rank#139  Overall
#9  Graph DBMS
Score0.19
Rank#257  Overall
#23  Graph DBMS
#119  Relational DBMS
Websitedgraph.iograkn.ai
Technical documentationdocs.dgraph.iodev.grakn.ai/­docs
DeveloperDgraph Labs, Inc.Grakn Labs Ltd
Initial release20162016
Current release1.5.8, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyes
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
Secondary indexesyesyes
SQL infoSupport of SQLnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
console (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMaster-master replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship feature
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.no
User concepts infoAccess controlno infoPlanned for future releasesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
DgraphGRAKN.AI
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
Expressive 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

Related products and services

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More resources
DgraphGRAKN.AI
Conferences and events

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

Recent citations in the news

Dgraph releases Ristretto, a fast, concurrent and memory-bound Go cache library
24 September 2019, Packt Hub

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

Graph databases advance: TigerGraph announces $32 Million Series B Funding plus cloud-based platform
25 September 2019, ZDNet

Dgraph Labs Secures $11.5 Million in Latest Funding Round
31 July 2019, Database Trends and Applications

Startup Dgraph Labs growing graph database technology
1 August 2019, TechTarget

provided by Google 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 launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

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