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DBMS > Amazon CloudSearch vs. CouchDB vs. HarperDB vs. YottaDB

System Properties Comparison Amazon CloudSearch vs. CouchDB vs. HarperDB vs. YottaDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHarperDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A fast and solid embedded Key-value store
Primary database modelSearch engineDocument storeDocument storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score8.30
Rank#47  Overall
#7  Document stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­cloudsearchcouchdb.apache.orgwww.harperdb.ioyottadb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.couchdb.org/­en/­stabledocs.harperdb.io/­docsyottadb.com/­resources/­documentation
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHarperDBYottaDB, LLC
Initial release2012200520172001
Current release3.3.3, December 20233.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infofree community edition availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangNode.jsC
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Docker
Linux
Data schemeyesschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesno
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 search fields are automatically indexedyes infovia viewsyesno
SQL infoSupport of SQLnonoSQL-like data manipulation statementsby using the Octo plugin
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoView functions in JavaScriptCustom Functions infosince release 3.1
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoimproved architecture with release 2.0A table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleAtomic execution of specific operationsoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users can be defined per databaseAccess rights for users and rolesUsers and groups based on OS-security mechanisms

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More resources
Amazon CloudSearchCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HarperDBYottaDB
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