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DBMS > Amazon CloudSearch vs. Cachelot.io vs. Datomic

System Properties Comparison Amazon CloudSearch vs. Cachelot.io vs. Datomic

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCachelot.io  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudIn-memory caching systemDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelSearch engineKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score0.00
Rank#396  Overall
#64  Key-value stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcachelot.iowww.datomic.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.com
DeveloperAmazonCognitect
Initial release201220152012
Current release1.0.6735, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD Licensecommercial infolimited edition free
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++Java, Clojure
Server operating systemshostedFreeBSD
Linux
OS X
All OS with a Java VM
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyes infoall search fields are automatically indexednoyes
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP APIMemcached protocolRESTful HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresnonoyes infoTransaction Functions
TriggersnonoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlauthentication via encrypted signaturesnono

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More resources
Amazon CloudSearchCachelot.ioDatomic
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Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
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