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DBMS > Amazon DocumentDB vs. Cubrid vs. DataFS vs. GigaSpaces

System Properties Comparison Amazon DocumentDB vs. Cubrid vs. DataFS vs. GigaSpaces

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCubrid  Xexclude from comparisonDataFS  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelDocument storeRelational DBMSObject oriented DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Websiteaws.amazon.com/­documentdbcubrid.com (korean)
cubrid.org (english)
newdatabase.comwww.gigaspaces.com
Technical documentationaws.amazon.com/­documentdb/­resourcescubrid.org/­manualsdev.mobiland.com/­Overview.xspdocs.gigaspaces.com/­latest/­landing.html
DeveloperCUBRID Corporation, CUBRID FoundationMobiland AGGigaspaces Technologies
Initial release2019200820182000
Current release11.0, January 20211.1.263, October 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaJava, C++, .Net
Server operating systemshostedLinux
Windows
WindowsLinux
macOS
Solaris
Windows
Data schemeschema-freeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-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.nononono infoXML can be used for describing objects metadata
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoSQL-99 for query and DML statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
.NET Client API
Proprietary client DLL
WinRT client
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
VB.Net
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes
Triggersnoyesno, except callback-events from server when changes happenedyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnonenoneProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes 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 integrityno infotypically not used, however similar functionality with DBRef possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardWindows-ProfileRole-based access control

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More resources
Amazon DocumentDBCubridDataFSGigaSpaces
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