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DBMS > Amazon Neptune vs. PouchDB

System Properties Comparison Amazon Neptune vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMS
RDF store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.19
Rank#111  Overall
#9  Graph DBMS
#5  RDF stores
Score1.94
Rank#120  Overall
#21  Document stores
Websiteaws.amazon.com/­neptunepouchdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcespouchdb.com/­guides
DeveloperAmazonApache Software Foundation
Initial release20172012
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source
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 languageJavaScript
Server operating systemshostedserver-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
HTTP REST infoonly for PouchDB Server
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 nodesnoneSharding infowith a proxy-based framework, named couchdb-lounge
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.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 NeptunePouchDB
DB-Engines blog posts

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

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