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DBMS > Amazon Neptune vs. GRAKN.AI vs. RocksDB

System Properties Comparison Amazon Neptune vs. GRAKN.AI vs. RocksDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonRocksDB  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.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
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.
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.57
Rank#125  Overall
#7  Graph DBMS
#4  RDF stores
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score2.42
Rank#99  Overall
#18  Key-value stores
Websiteaws.amazon.com/­neptunegrakn.airocksdb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdev.grakn.ai/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonGrakn Labs LtdFacebook, Inc.
Initial release201720162013
Current release1.6.1, December 20196.3.6, October 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLnonono
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
console (shell)
gRPC protocol
Workbase (visualisation software)
C++ API
Java API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasMaster-master replication infoby using Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 progressno
More information provided by the system vendor
Amazon NeptuneGRAKN.AIRocksDB
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
Amazon NeptuneGRAKN.AIRocksDB
Conferences and events

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

Recent citations in the news

Catching up with Amazon Neptune
26 November 2019, ZDNet

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

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14 November 2019, InfoWorld

Amazon cloud database and data analytics expand
4 December 2019, TechTarget

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