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DBMS > Amazon SimpleDB vs. BaseX vs. Geode vs. Kingbase

System Properties Comparison Amazon SimpleDB vs. BaseX vs. Geode vs. Kingbase

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBaseX  Xexclude from comparisonGeode  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelKey-value storeNative XML DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.44
Rank#258  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­simpledbbasex.orggeode.apache.orgwww.kingbase.com.cn
Technical documentationdocs.aws.amazon.com/­simpledbdocs.basex.orggeode.apache.org/­docs
DeveloperAmazonBaseX GmbHOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.BeiJing KINGBASE Information technologies inc.
Initial release2007200720021999
Current release11.2, August 20241.1, February 2017V8.0, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and Java
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenono infoXQuery supports typesyesyes
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.noyes
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (OQL)Standard with numerous extensions
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsuser defined functions
Triggersnoyes infovia eventsyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationmultiple readers, single writeryes, on a single nodeACID
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept on 4 levelsAccess rights per client and object definablefine grained access rights according to SQL-standard

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