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DBMS > Amazon Neptune vs. Cubrid vs. Fujitsu Enterprise Postgres vs. GigaSpaces

System Properties Comparison Amazon Neptune vs. Cubrid vs. Fujitsu Enterprise Postgres vs. GigaSpaces

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCubrid  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGigaSpaces  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 OLTPEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Search engine
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
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Websiteaws.amazon.com/­neptunecubrid.com (korean)
cubrid.org (english)
www.postgresql.fastware.comwww.gigaspaces.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescubrid.org/­manualswww.postgresql.fastware.com/­product-manualsdocs.gigaspaces.com/­latest/­landing.html
DeveloperAmazonCUBRID Corporation, CUBRID FoundationPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGigaspaces Technologies
Initial release201720082000
Current release11.0, January 2021Fujitsu Enterprise Postgres 14, January 202215.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaCJava, C++, .Net
Server operating systemshostedLinux
Windows
Linux
Windows
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoXML can be used for describing objects metadata
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesSQL-99 for query and DML statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsyes
Triggersnoyesyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and by hashSharding
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 replicationSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
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)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Amazon NeptuneCubridFujitsu Enterprise PostgresGigaSpaces
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Amazon NeptuneCubridFujitsu Enterprise PostgresGigaSpaces
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