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DBMS > Amazon Neptune vs. EventStoreDB vs. LokiJS

System Properties Comparison Amazon Neptune vs. EventStoreDB vs. LokiJS

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEventStoreDB  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudIndustrial-strength, open-source database solution built from the ground up for event sourcing.In-memory JavaScript DBMS
Primary database modelGraph DBMS
RDF store
Event StoreDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.43
Rank#264  Overall
#42  Document stores
Websiteaws.amazon.com/­neptunewww.eventstore.comgithub.com/­techfort/­LokiJS
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdevelopers.eventstore.comtechfort.github.io/­LokiJS
DeveloperAmazonEvent Store Limited
Initial release201720122014
Current release21.2, February 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source
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 languageJavaScript
Server operating systemshostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 infovia views
SQL infoSupport of SQLnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JavaScript API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnoView functions in JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no

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More resources
Amazon NeptuneEventStoreDBLokiJS
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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