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DBMS > Amazon CloudSearch vs. Kdb vs. Oracle NoSQL vs. PouchDB

System Properties Comparison Amazon CloudSearch vs. Kdb vs. Oracle NoSQL vs. PouchDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonKdb  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudHigh performance Time Series DBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesJavaScript DBMS with an API inspired by CouchDB
Primary database modelSearch engineTime Series DBMS
Vector DBMS
Document store
Key-value store
Relational DBMS
Document store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteaws.amazon.com/­cloudsearchkx.comwww.oracle.com/­database/­nosql/­technologies/­nosqlpouchdb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcode.kx.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlpouchdb.com/­guides
DeveloperAmazonKx Systems, a division of First Derivatives plcOracleApache Software Foundation
Initial release20122000 infokdb was released 2000, kdb+ in 200320112012
Current release3.6, May 201824.1, May 20247.1.1, June 2019
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJavaJavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
Solaris SPARC/x86
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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.yesnono
Secondary indexesyes infoall search fields are automatically indexedyes infotable attribute 'grouped'yesyes infovia views
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsnoView functions in JavaScript
Triggersnoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioningShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingwith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 infooff heap cacheyes
User concepts infoAccess controlauthentication via encrypted signaturesrights management via user accountsAccess rights for users and rolesno
More information provided by the system vendor
Amazon CloudSearchKdbOracle NoSQLPouchDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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Amazon CloudSearchKdbOracle NoSQLPouchDB
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