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DBMS > Amazon CloudSearch vs. Apache Kylin vs. Hive

System Properties Comparison Amazon CloudSearch vs. Apache Kylin vs. Hive

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Kylin  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#135  Overall
#12  Search engines
Score1.50
Rank#177  Overall
#84  Relational DBMS
Score71.83
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­cloudsearchkylin.apache.orghive.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchkylin.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncApache Software Foundation infoinitially developed by Facebook
Initial release201220152012
Current release3.1.0, July 20203.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinuxAll OS with a Java VM
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.no
Secondary indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statements
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles

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More resources
Amazon CloudSearchApache KylinHive
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