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DBMS > Amazon Neptune vs. NSDb

System Properties Comparison Amazon Neptune vs. NSDb

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.76
Rank#122  Overall
#9  Graph DBMS
#5  RDF stores
Score0.04
Rank#387  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­neptunensdb.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesnsdb.io/­Architecture
DeveloperAmazon
Initial release20172017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
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, Scala
Server operating systemshostedLinux
macOS
Data schemeschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, string
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 indexesnoall fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java
Scala
Server-side scripts infoStored proceduresnono
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
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.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 datayesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restUsing Apache Lucene
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)

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More resources
Amazon NeptuneNSDb
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