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DBMS > Hive vs. ToroDB

System Properties Comparison Hive vs. ToroDB

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonToroDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.22
Rank#14  Overall
#9  Relational DBMS
Score0.05
Rank#325  Overall
#44  Document stores
Websitehive.apache.orgwww.torodb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.torodb.com/­stampede/­docs
DeveloperApache Software Foundation infoinitially developed by Facebook8Kdata
Initial release20122016
Current release3.1.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java 7 VM
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, boolean, date, object_id
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
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
Supported programming languagesC++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
HiveToroDB
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