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DBMS > Amazon SimpleDB vs. Microsoft Azure Table Storage vs. mSQL vs. NSDb vs. Sphinx

System Properties Comparison Amazon SimpleDB vs. Microsoft Azure Table Storage vs. mSQL vs. NSDb vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNSDb  Xexclude from comparisonSphinx  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 ScioreA Wide Column Store for rapid development using massive semi-structured datasetsmSQL (Mini SQL) is a simple and lightweight RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeWide column storeRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score3.55
Rank#80  Overall
#6  Wide column stores
Score1.26
Rank#163  Overall
#74  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­simpledbazure.microsoft.com/­en-us/­services/­storage/­tableshughestech.com.au/­products/­msqlnsdb.iosphinxsearch.com
Technical documentationdocs.aws.amazon.com/­simpledbnsdb.io/­Architecturesphinxsearch.com/­docs
DeveloperAmazonMicrosoftHughes TechnologiesSphinx Technologies Inc.
Initial release20072012199420172001
Current release4.4, October 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ScalaC++
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes: int, bigint, decimal, stringno
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynoyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJDBC
ODBC
gRPC
HTTP REST
WebSocket
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infoImplicit feature of the cloud servicenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationoptimistic lockingnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes 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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturesnono

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More resources
Amazon SimpleDBMicrosoft Azure Table StoragemSQL infoMini SQLNSDbSphinx
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