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DBMS > Amazon DynamoDB vs. BaseX vs. Citus vs. Yaacomo

System Properties Comparison Amazon DynamoDB vs. BaseX vs. Citus vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBaseX  Xexclude from comparisonCitus  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Native XML DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Websiteaws.amazon.com/­dynamodbbasex.orgwww.citusdata.comyaacomo.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.basex.orgdocs.citusdata.com
DeveloperAmazonBaseX GmbHQ2WEB GmbH
Initial release2012200720102009
Current release11.0, June 20248.1, December 2018
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSD licenseOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedLinux
OS X
Windows
LinuxAndroid
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesno 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.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyes infostandard, with numerous extensionsyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infoby integration with AWS Lambdayes infovia eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionmultiple readers, single writerACIDACID
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.noyes
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 levelsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBBaseXCitusYaacomo
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