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DBMS > Amazon Neptune vs. Fauna vs. InterSystems Caché vs. OpenQM vs. RDF4J

System Properties Comparison Amazon Neptune vs. Fauna vs. InterSystems Caché vs. OpenQM vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A multi-model DBMS and application serverQpenQM is a high-performance, self-tuning, multi-value DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Multivalue DBMSRDF store
Secondary database modelsDocument 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
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteaws.amazon.com/­neptunefauna.comwww.intersystems.com/­products/­cachewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmrdf4j.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.fauna.comdocs.intersystems.comrdf4j.org/­documentation
DeveloperAmazonFauna, Inc.InterSystemsRocket Software, originally Martin PhillipsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20172014199719932004
Current release2018.1.4, May 20203.4-12
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemshostedhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freedepending on used data modelyes infowith some exceptionsyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
Java 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
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Java
.Net
Basic
C
Java
Objective C
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyesyesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingnoneyesnone
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 replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes 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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlAccess rights for users, groups and rolesAccess rights can be defined down to the item levelno

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More resources
Amazon NeptuneFauna infopreviously named FaunaDBInterSystems CachéOpenQM infoalso called QMRDF4J infoformerly known as Sesame
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