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DBMS > Amazon DocumentDB vs. Hive

System Properties Comparison Amazon DocumentDB vs. Hive

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Our visitors often compare Amazon DocumentDB and Hive with MongoDB, Cassandra and PostgreSQL.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database servicedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#132  Overall
#23  Document stores
Score81.61
Rank#17  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­documentdbhive.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcescwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software Foundation infoinitially developed by Facebook
Initial release20192012
Current release3.1.2, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAll OS with a Java VM
Data schemeschema-freeyes
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 indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
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 nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles

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More resources
Amazon DocumentDBHive
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