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DBMS > Amazon CloudSearch vs. Microsoft Access

System Properties Comparison Amazon CloudSearch vs. Microsoft Access

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Our visitors often compare Amazon CloudSearch and Microsoft Access with MongoDB, Amazon DynamoDB and Google Cloud Datastore.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.00
Rank#85  Overall
#9  Search engines
Score144.65
Rank#9  Overall
#6  Relational DBMS
Websiteaws.amazon.com/­cloudsearchproducts.office.com/­en-us/­access
Technical documentationdocs.aws.amazon.com/­cloudsearchmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspx
DeveloperAmazonMicrosoft
Initial release20121992
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLs
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standard
APIs and other access methodsHTTP APIDAO
OLE DB
ADO.NET
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engine
Triggersnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction logging
User concepts infoAccess controlauthentication via encrypted signaturesno infoa simple user-level security was built in till version Access 2003

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More resources
Amazon CloudSearchMicrosoft Access
DB-Engines blog posts

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3 August 2015, Matthias Gelbmann

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3 December 2012, Matthias Gelbmann

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Recent citations in the news

GLOBAL ENTERPRISE SEARCH SOFTWARE 2019 MARKET SHARE, TRENDS, SEGMENTATION, OPPORTUNITIES & FORECAST TO 2025
3 April 2019, Amazing Newspaper

How to access and organize files faster in G Suite using Priority and Workspaces
19 April 2019, TechRepublic

Amazon CloudSearch: Just What You Were Looking For?
11 September 2016, Wired News

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18 April 2019, Market Research Gazette

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10 April 2019, The Market Research News

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23 April 2019, Technotification

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23 April 2019, TWCN Tech News

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23 February 2019, BethesdaMagazine.com

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18 April 2019, PublicTechnology

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