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DBMS > Amazon DocumentDB vs. Amazon SimpleDB vs. Cubrid vs. Sphinx

System Properties Comparison Amazon DocumentDB vs. Amazon SimpleDB vs. Cubrid vs. Sphinx

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonCubrid  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHosted 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 OLTPOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeKey-value storeRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score1.88
Rank#139  Overall
#24  Key-value stores
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websiteaws.amazon.com/­documentdbaws.amazon.com/­simpledbcubrid.com (korean)
cubrid.org (english)
sphinxsearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­simpledbcubrid.org/­manualssphinxsearch.com/­docs
DeveloperAmazonCUBRID Corporation, CUBRID FoundationSphinx Technologies Inc.
Initial release2019200720082001
Current release11.0, January 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++
Server operating systemshostedhostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesno
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 indexesyesyes infoAll columns are indexed automaticallyyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoJava Stored Proceduresno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoConcurrent data updates can be detected by the applicationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBAmazon SimpleDBCubridSphinx
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