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DBMS > Amazon SimpleDB vs. Google Cloud Datastore vs. Lovefield vs. Microsoft Azure AI Search vs. PouchDB

System Properties Comparison Amazon SimpleDB vs. Google Cloud Datastore vs. Lovefield vs. Microsoft Azure AI Search vs. PouchDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPouchDB  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 ScioreAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeDocument storeRelational DBMSSearch engineDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Websiteaws.amazon.com/­simpledbcloud.google.com/­datastoregoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchpouchdb.com
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchpouchdb.com/­guides
DeveloperAmazonGoogleGoogleMicrosoftApache Software Foundation
Initial release20072008201420152012
Current release2.1.12, February 2017V17.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaScript
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyes, details hereyesyesno
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 indexesyes infoAll columns are indexed automaticallyyesyesyesyes infovia views
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC#
Java
JavaScript
Python
JavaScript
Server-side scripts infoStored proceduresnousing Google App EnginenonoView functions in JavaScript
TriggersnoCallbacks using the Google Apps EngineUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using Paxosnoneyes infoImplicit feature of the cloud serviceMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate 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.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes infousing Azure authenticationno

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More resources
Amazon SimpleDBGoogle Cloud DatastoreLovefieldMicrosoft Azure AI SearchPouchDB
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