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DBMS > Amazon SimpleDB vs. Hypertable vs. ReductStore vs. Valentina Server

System Properties Comparison Amazon SimpleDB vs. Hypertable vs. ReductStore vs. Valentina Server

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHypertable  Xexclude from comparisonReductStore  Xexclude from comparisonValentina Server  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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 ScioreAn open source BigTable implementation based on distributed file systems such as HadoopDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Object-relational database and reports server
Primary database modelKey-value storeWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­reductstore
www.reduct.store
www.valentina-db.net
Technical documentationdocs.aws.amazon.com/­simpledbwww.reduct.store/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazonHypertable Inc.ReductStore LLCParadigma Software
Initial release2007200920231999
Current release0.9.8.11, March 20161.9, March 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infoBusiness Source License 1.1commercial
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 languageC++C++, Rust
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
Secondary indexesyes infoAll columns are indexed automaticallyrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
HTTP APIODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBHypertableReductStoreValentina Server
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