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DBMS > Amazon SimpleDB vs. Hyprcubd vs. Kinetica vs. LokiJS vs. Riak KV

System Properties Comparison Amazon SimpleDB vs. Hyprcubd vs. Kinetica vs. LokiJS vs. Riak KV

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparisonLokiJS  Xexclude from comparisonRiak KV  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreServerless Time Series DBMSFully vectorized database across both GPUs and CPUsIn-memory JavaScript DBMSDistributed, fault tolerant key-value store
Primary database modelKey-value storeTime Series DBMSRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websiteaws.amazon.com/­simpledbhyprcubd.com (offline)www.kinetica.comgithub.com/­techfort/­LokiJS
Technical documentationdocs.aws.amazon.com/­simpledbdocs.kinetica.comtechfort.github.io/­LokiJSwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAmazonHyprcubd, Inc.KineticaOpenSource, formerly Basho Technologies
Initial release2007201220142009
Current release7.1, August 20213.2.0, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++JavaScriptErlang
Server operating systemshostedhostedLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyes infotime, int, uint, float, stringyesnono
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 automaticallynoyesyes infovia viewsrestricted
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsnono
APIs and other access methodsRESTful HTTP APIgRPC (https)JDBC
ODBC
RESTful HTTP API
JavaScript APIHTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonouser defined functionsView functions in JavaScriptErlang
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency
Foreign keys infoReferential integritynonoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonono infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)token accessAccess rights for users and roles on table levelnoyes, using Riak Security

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More resources
Amazon SimpleDBHyprcubdKineticaLokiJSRiak KV
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