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DBMS > Amazon SimpleDB vs. PouchDB vs. Quasardb vs. SingleStore

System Properties Comparison Amazon SimpleDB vs. PouchDB vs. Quasardb vs. SingleStore

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 CouchDBDistributed, high-performance timeseries databaseMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelKey-value storeDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score2.18
Rank#114  Overall
#21  Document stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteaws.amazon.com/­simpledbpouchdb.comquasar.aiwww.singlestore.com
Technical documentationdocs.aws.amazon.com/­simpledbpouchdb.com/­guidesdoc.quasar.ai/­masterdocs.singlestore.com
DeveloperAmazonApache Software FoundationquasardbSingleStore Inc.
Initial release2007201220092013
Current release7.1.1, June 20193.14.1, January 20248.5, January 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree developer edition 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 languageJavaScriptC++C++, Go
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Linux info64 bit version required
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes infointeger and binaryyes
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 viewsyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate 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, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDByes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noCryptographically strong user authentication and audit trailFine grained access control via users, groups and roles

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More resources
Amazon SimpleDBPouchDBQuasardbSingleStore infoformer name was MemSQL
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AWS quietly freezes CodeCommit, Cloud9, SimpleDB and more, customers complain about lack of notice
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