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DBMS > Amazon SimpleDB vs. BigchainDB vs. CouchDB vs. Microsoft Azure AI Search vs. Netezza

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. CouchDB vs. Microsoft Azure AI Search vs. Netezza

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Search-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeDocument storeDocument storeSearch engineRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score9.30
Rank#45  Overall
#7  Document stores
Score5.59
Rank#63  Overall
#7  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comcouchdb.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezza
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.couchdb.org/­en/­stablelearn.microsoft.com/­en-us/­azure/­search
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftIBM
Initial release20072016200520152000
Current release3.3.3, December 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonErlang
Server operating systemshostedLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux infoincluded in appliance
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenononoyesyes
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 SQLnonononoyes
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
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 applicationShardingSharding infoimproved architecture with release 2.0Sharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationno infoatomic operations within a single document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesAccess rights for users can be defined per databaseyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
Amazon SimpleDBBigchainDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Microsoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBM
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