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DBMS > Amazon SimpleDB vs. ReductStore vs. STSdb vs. Transwarp KunDB

System Properties Comparison Amazon SimpleDB vs. ReductStore vs. STSdb vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonReductStore  Xexclude from comparisonSTSdb  Xexclude from comparisonTranswarp KunDB  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 ScioreDesigned 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.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelKey-value storeTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.04
Rank#362  Overall
#154  Relational DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­reductstore
www.reduct.store
github.com/­STSSoft/­STSdb4www.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.aws.amazon.com/­simpledbwww.reduct.store/­docs
DeveloperAmazonReductStore LLCSTS Soft SCTranswarp
Initial release200720232011
Current release1.9, March 20244.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License 1.1Open Source infoGPLv2, commercial license availablecommercial
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++, RustC#
Server operating systemshostedDocker
Linux
macOS
Windows
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infoprimitive types and user defined types (classes)yes
Secondary indexesyes infoAll columns are indexed automaticallynoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIHTTP API.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
JavaScript (Node.js)
Python
Rust
C#
Java
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 applicationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyes

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More resources
Amazon SimpleDBReductStoreSTSdbTranswarp KunDB
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