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DBMS > Amazon CloudSearch vs. Datomic vs. Fauna

System Properties Comparison Amazon CloudSearch vs. Datomic vs. Fauna

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  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 durabilityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
Primary database modelSearch engineRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.datomic.comfauna.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.datomic.comdocs.fauna.com
DeveloperAmazonCognitectFauna, Inc.
Initial release201220122014
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial
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 languageJava, ClojureScala
Server operating systemshostedAll OS with a Java VMhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexedyesyes
SQL infoSupport of SQLnonono
APIs and other access methodsHTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesClojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functions
TriggersnoBy using transaction functionsno
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 peershorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peersMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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 infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 developmentno
User concepts infoAccess controlauthentication via encrypted signaturesnoIdentity management, authentication, and access control

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

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