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DBMS > Amazon CloudSearch vs. JanusGraph vs. SQL.JS

System Properties Comparison Amazon CloudSearch vs. JanusGraph vs. SQL.JS

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Port of SQLite to JavaScript
Primary database modelSearch engineGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteaws.amazon.com/­cloudsearchjanusgraph.orgsql.js.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.janusgraph.orgsql.js.org/­documentation/­index.html
DeveloperAmazonLinux Foundation; originally developed as Titan by AureliusAlon Zakai infoenhancements implemented by others
Initial release201220172012
Current release0.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open 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 languageJavaJavaScript
Server operating systemshostedLinux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)
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.nono
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnonoyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JavaScript API
Supported programming languagesClojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesUser authentification and security via Rexster Graph Serverno

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More resources
Amazon CloudSearchJanusGraph infosuccessor of TitanSQL.JS
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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

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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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