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DBMS > Amazon CloudSearch vs. InterSystems Caché vs. OrigoDB

System Properties Comparison Amazon CloudSearch vs. InterSystems Caché vs. OrigoDB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonOrigoDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA multi-model DBMS and application serverA fully ACID in-memory object graph database
Primary database modelSearch engineKey-value store
Object oriented DBMS
Relational DBMS
Document store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchwww.intersystems.com/­products/­cacheorigodb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.intersystems.comorigodb.com/­docs
DeveloperAmazonInterSystemsRobert Friberg et al
Initial release201219972009 infounder the name LiveDB
Current release2018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collections
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.yesno infocan be achieved using .NET
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
C++
Java
.Net
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on model
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 persistentyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and rolesRole based authorization

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More resources
Amazon CloudSearchInterSystems CachéOrigoDB
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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

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

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

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

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24 July 2019, PR Newswire

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