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DBMS > Alibaba Cloud Table Store vs. Amazon DocumentDB vs. BigObject vs. CouchDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DocumentDB vs. BigObject vs. CouchDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonBigObject  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for real-time computations and queriesA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.
Primary database modelWide column storeDocument storeRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#294  Overall
#12  Wide column stores
Score1.91
Rank#124  Overall
#22  Document stores
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­documentdbbigobject.iocouchdb.apache.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreaws.amazon.com/­documentdb/­resourcesdocs.bigobject.iodocs.couchdb.org/­en/­stable
DeveloperAlibabaBigObject, Inc.Apache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developer
Initial release2016201920152005
Current release3.3.3, December 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlang
Server operating systemshostedhostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
BSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)fluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
Go
Java
JavaScript (Node.js)
PHP
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonoLuaView functions in JavaScript
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenoneSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infoautomatically between fact table and dimension tablesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic single-document operationsnono infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)yes infostrategy: optimistic locking
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.noyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and rolesnoAccess rights for users can be defined per database

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More resources
Alibaba Cloud Table StoreAmazon DocumentDBBigObjectCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"
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