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DBMS > Amazon SimpleDB vs. Cubrid vs. Vitess vs. YDB

System Properties Comparison Amazon SimpleDB vs. Cubrid vs. Vitess vs. YDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCubrid  Xexclude from comparisonVitess  Xexclude from comparisonYDB  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 ScioreCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPScalable, distributed, cloud-native DBMS, extending MySQLA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteaws.amazon.com/­simpledbcubrid.com (korean)
cubrid.org (english)
vitess.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.aws.amazon.com/­simpledbcubrid.org/­manualsvitess.io/­docsydb.tech/­en/­docs
DeveloperAmazonCUBRID Corporation, CUBRID FoundationThe Linux Foundation, PlanetScaleYandex
Initial release2007200820132019
Current release11.0, January 202115.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaGo
Server operating systemshostedLinux
Windows
Docker
Linux
macOS
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesyes
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 automaticallyyesyesyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoproprietary syntaxno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesAccess rights defined for Yandex Cloud users

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More resources
Amazon SimpleDBCubridVitessYDB
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