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DBMS > Amazon CloudSearch vs. Lovefield vs. Microsoft Azure SQL Database

System Properties Comparison Amazon CloudSearch vs. Lovefield vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEmbeddable relational database for web apps written in pure JavaScriptDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.aws.amazon.com/­cloudsearchgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAmazonGoogleMicrosoft
Initial release201220142010
Current release2.1.12, February 2017V12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
Supported programming languagesJavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoTransact SQL
TriggersnoUsing read-only observersyes
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 AWSnoneyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
User concepts infoAccess controlauthentication via encrypted signaturesnofine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchLovefieldMicrosoft Azure SQL Database infoformerly SQL Azure
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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