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DBMS > Amazon CloudSearch vs. Hive vs. Trafodion

System Properties Comparison Amazon CloudSearch vs. Hive vs. Trafodion

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonHive  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons clouddata warehouse software for querying and managing large distributed datasets, built on HadoopTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.69
Rank#93  Overall
#10  Search engines
Score84.74
Rank#14  Overall
#9  Relational DBMS
Score0.44
Rank#212  Overall
#101  Relational DBMS
Websiteaws.amazon.com/­cloudsearchhive.apache.orgtrafodion.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchcwiki.apache.org/­confluence/­display/­Hive/­Hometrafodion.apache.org
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookApache Software Foundation, originally developed by HP
Initial release201220122014
Current release2.3.6, August 20192.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemshostedAll OS with a Java VMLinux
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 SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP APIJDBC
ODBC
Thrift
JDBC
ODBC
ADO.NET
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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 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 rolesfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchHiveTrafodion
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Recent citations in the news

Enterprise Semantic Search Software Market 2019- 2025 | SharePoint, IBM, Lucidworks, Microsoft FAST, Oracle, Amazon CloudSearch, Apache Lucene and Attivio
23 September 2019, Market Expert

Enterprise Search Software Market 2019 Valuable Growth Prospects and Upcoming Trends till 2027 with Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
1 October 2019, Market Expert

Global Enterprise Semantic Search Software Market Analysis, By Product, By Method And Segment Forecasts 2019-2024
25 September 2019, News Coed

Amazon CloudSearch: Just What You Were Looking For?
11 September 2016, Wired News

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27 September 2019, Market Expert

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23 September 2019, Yahoo Finance

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24 September 2019, ZDNet

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29 September 2019, ZDNet

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