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DBMS > Amazon Neptune vs. Grakn

System Properties Comparison Amazon Neptune vs. Grakn

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Our visitors often compare Amazon Neptune and Grakn with Neo4j, GraphDB and Dgraph.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGrakn  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.
Primary database modelGraph DBMS
RDF store
Graph 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
Score2.35
Rank#115  Overall
#6  Graph DBMS
#4  RDF stores
Score0.75
Rank#191  Overall
#16  Graph DBMS
#94  Relational DBMS
Websiteaws.amazon.com/­neptunegrakn.ai
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdev.grakn.ai/­docs
DeveloperAmazonGrakn Labs
Initial release20172016
Current release1.8.3, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
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 indexesnoyes
SQL infoSupport of SQLnono
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
console (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
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 nodesnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasMulti-source 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 integrityyes infoRelationships in graphsno 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 persistentyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infoat REST API level; other APIs in progress
More information provided by the system vendor
Amazon NeptuneGrakn
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
News

Discover, Build, Inspire with Grakn - We’ll take care of the swag!
18 August 2020

Grakn Labs community newsletter for week of June 15 — Grakn Labs Online brings you webinars…
15 June 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

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More resources
Amazon NeptuneGrakn
Recent citations in the news

Load balance graph queries using the Amazon Neptune Gremlin Client
16 September 2020, idk.dev

Visualize query results using the Amazon Neptune workbench
2 September 2020, idk.dev

Using collaborative filtering on Yelp data to build a recommendation system in Amazon Neptune
8 September 2020, idk.dev

Cox Automotive scales digital personalization using an identity graph powered by Amazon Neptune
18 September 2020, idk.dev

Catching up with Amazon Neptune
26 November 2019, ZDNet

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

15 Machine Learning Companies To Watch In Europe
27 November 2018, Forbes

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

provided by Google News

Job opportunities

Software Dev Manager (Amazon Neptune Graph Database)
Amazon.com Services LLC, Seattle, WA

Sr. Neptune Specialist SA (7530076)
Amazon Corporate, LLC, Chicago, IL

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jobs by Indeed




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