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DBMS > Amazon SimpleDB vs. Hive vs. Quasardb vs. Riak KV

System Properties Comparison Amazon SimpleDB vs. Hive vs. Quasardb vs. Riak KV

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  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 Scioredata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value store
Primary database modelKey-value storeRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#145  Overall
#24  Key-value stores
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Score4.95
Rank#76  Overall
#9  Key-value stores
Websiteaws.amazon.com/­simpledbhive.apache.orgquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookquasardbOpenSource, formerly Basho Technologies
Initial release2007201220092009
Current release3.1.3, April 20223.14.1, January 20243.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemshostedAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes infointeger and binaryno
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infowith tagsrestricted
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
HTTP APIHTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C 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 proceduresnoyes infouser defined functions and integration of map-reducenoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infoconsistent hashingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono 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 applicationnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
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 rolesCryptographically strong user authentication and audit trailyes, using Riak Security

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