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DBMS > Hive vs. PostGIS vs. Yanza

System Properties Comparison Hive vs. PostGIS vs. Yanza

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonPostGIS  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQLTime Series DBMS for IoT Applications
Primary database modelRelational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitehive.apache.orgpostgis.netyanza.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookYanza
Initial release201220052015
Current release3.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL v2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll OS with a Java VMWindows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
Supported programming languagesC++
Java
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 controlAccess rights for users, groups and rolesyes infobased on PostgreSQLno

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More resources
HivePostGISYanza
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