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DBMS > Amazon CloudSearch vs. CouchDB vs. Google Cloud Datastore vs. Heroic

System Properties Comparison Amazon CloudSearch vs. CouchDB vs. Google Cloud Datastore vs. Heroic

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHeroic  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelSearch engineDocument storeDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
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
Score4.36
Rank#72  Overall
#12  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchcouchdb.apache.orgcloud.google.com/­datastoregithub.com/­spotify/­heroic
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.couchdb.org/­en/­stablecloud.google.com/­datastore/­docsspotify.github.io/­heroic
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleSpotify
Initial release2012200520082014
Current release3.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache 2.0
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 languageErlangJava
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes, details hereyes
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 viewsyesyes infovia Elasticsearch
SQL infoSupport of SQLnonoSQL-like query language (GQL)no
APIs and other access methodsHTTP APIRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptusing Google App Engineno
TriggersnoyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoimproved architecture with release 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Multi-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes
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.nonono
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon CloudSearchCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud DatastoreHeroic
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