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DBMS > Amazon CloudSearch vs. Datomic

System Properties Comparison Amazon CloudSearch vs. Datomic

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Our visitors often compare Amazon CloudSearch and Datomic with Amazon DynamoDB, Microsoft Azure Cosmos DB and MongoDB.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.59
Rank#91  Overall
#10  Search engines
Score1.84
Rank#113  Overall
#54  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.datomic.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.com
DeveloperAmazonCognitect
Initial release20122012
Current release0.9.5951, July 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition free
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 languageJava, Clojure
Server operating systemshostedAll OS with a Java VM
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnono
APIs and other access methodsHTTP APIRESTful HTTP API
Supported programming languagesClojure
Java
Server-side scripts infoStored proceduresnoyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.yes inforecommended only for testing and development
User concepts infoAccess controlauthentication via encrypted signaturesno

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More resources
Amazon CloudSearchDatomic
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