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DBMS > Amazon Neptune vs. jBASE vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison Amazon Neptune vs. jBASE vs. Microsoft Azure Table Storage vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA robust multi-value DBMS comprising development tools and middlewareA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Multivalue DBMSWide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­neptunewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9rdf4j.org/­documentation
DeveloperAmazonRocket Software (formerly Zumasys)MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2017199120122004
Current release5.7
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAIX
Linux
Windows
hostedLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesno
Secondary indexesnonoyes
SQL infoSupport of SQLnoEmbedded SQL for jBASE in BASICnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Basic
Jabbascript
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicenone
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.yesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesno

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More resources
Amazon NeptunejBASEMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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