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DBMS > Amazon DynamoDB vs. BaseX vs. Google BigQuery vs. Memcached

System Properties Comparison Amazon DynamoDB vs. BaseX vs. Google BigQuery vs. Memcached

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBaseX  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMemcached  Xexclude from comparison
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.Large scale data warehouse service with append-only tablesIn-memory key-value store, originally intended for caching
Primary database modelDocument store
Key-value store
Native XML DBMSRelational DBMSKey-value 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
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­dynamodbbasex.orgcloud.google.com/­bigquerywww.memcached.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.basex.orgcloud.google.com/­bigquery/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperAmazonBaseX GmbHGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2012200720102003
Current release10.7, August 20231.6.27, May 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoBSD licensecommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesno
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.no
Secondary indexesyesyesnono
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP/JSON APIProprietary protocol
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
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functions infoin JavaScriptno
Triggersyes infoby integration with AWS Lambdayes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoRepcached, a Memcached patch, provides this functionallity
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 Consistency
Foreign keys infoReferential integritynononono
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 writerno infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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 privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon DynamoDBBaseXGoogle BigQueryMemcached
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