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DBMS > Amazon SimpleDB vs. PouchDB vs. TDSQL for MySQL vs. XTDB

System Properties Comparison Amazon SimpleDB vs. PouchDB vs. TDSQL for MySQL vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonPouchDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonXTDB infoformerly named Crux  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 ScioreJavaScript DBMS with an API inspired by CouchDBA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeDocument storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteaws.amazon.com/­simpledbpouchdb.comwww.tencentcloud.com/­products/­dcdbgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­simpledbpouchdb.com/­guideswww.tencentcloud.com/­document/­product/­1042www.xtdb.com/­docs
DeveloperAmazonApache Software FoundationTencentJuxt Ltd.
Initial release2007201220132019
Current release7.1.1, June 20191.19, September 2021
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoMIT 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 languageJavaScriptClojure
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes, extensible-data-notation format
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
Secondary indexesyes infoAll columns are indexed automaticallyyes infovia viewsyesyes
SQL infoSupport of SQLnonoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
JavaScriptC
C#
C++
Java
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnoView functions in JavaScriptyesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infowith a proxy-based framework, named couchdb-loungeAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers with fine-grained authorization concept

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More resources
Amazon SimpleDBPouchDBTDSQL for MySQLXTDB infoformerly named Crux
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