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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. Quasardb vs. RDFox

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. Quasardb vs. RDFox

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreDistributed, high-performance timeseries databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbquasar.aiwww.oxfordsemantic.tech
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbdoc.quasar.ai/­masterdocs.oxfordsemantic.tech
DeveloperAmazonAmazonquasardbOxford Semantic Technologies
Initial release2017200720092017
Current release3.14.1, January 20246.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedhostedBSD
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyes infointeger and binaryyes
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 infoAll columns are indexed automaticallyyes infowith tags
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIHTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationSharding infoconsistent hashing
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.yesSource-replica replication with selectable replication factorreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Cryptographically strong user authentication and audit trailRoles, resources, and access types

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More resources
Amazon NeptuneAmazon SimpleDBQuasardbRDFox
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