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DBMS > Amazon SimpleDB vs. Linter vs. Oracle Coherence vs. PouchDB

System Properties Comparison Amazon SimpleDB vs. Linter vs. Oracle Coherence vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonLinter  Xexclude from comparisonOracle Coherence  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 ScioreRDBMS for high security requirementsOracles in-memory data grid solutionJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeRelational DBMSKey-value storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­simpledblinter.ruwww.oracle.com/­java/­coherencepouchdb.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.oracle.com/­en/­middleware/­standalone/­coherencepouchdb.com/­guides
DeveloperAmazonrelex.ruOracleApache Software Foundation
Initial release2007199020072012
Current release14.1, August 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJavaScript
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 automaticallyyesnoyes infovia views
SQL infoSupport of SQLnoyesnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JCache
JPA
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C++
Java
JavaScript
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLnoView functions in JavaScript
Triggersnoyesyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes, with selectable consistency levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes 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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationno

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More resources
Amazon SimpleDBLinterOracle CoherencePouchDB
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