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DBMS > Amazon Neptune vs. Cubrid vs. Ingres vs. Lovefield vs. RDF4J

System Properties Comparison Amazon Neptune vs. Cubrid vs. Ingres vs. Lovefield vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCubrid  Xexclude from comparisonIngres  Xexclude from comparisonLovefield  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPWell established RDBMSEmbeddable relational database for web apps written in pure JavaScriptRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSRDF 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
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteaws.amazon.com/­neptunecubrid.com (korean)
cubrid.org (english)
www.actian.com/­databases/­ingresgoogle.github.io/­lovefieldrdf4j.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcescubrid.org/­manualsdocs.actian.com/­ingresgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrdf4j.org/­documentation
DeveloperAmazonCUBRID Corporation, CUBRID FoundationActian CorporationGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201720081974 infooriginally developed at University Berkely in early 1970s20142004
Current release11.0, January 202111.2, May 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaCJavaScriptJava
Server operating systemshostedLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
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
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesnoyes
TriggersnoyesyesUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonenone
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.Source-replica replicationIngres Replicatornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesyes
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 datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.nonoyes infousing MemoryDB
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
Amazon NeptuneCubridIngresLovefieldRDF4J infoformerly known as Sesame
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