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DBMS > GeoSpock vs. H2GIS vs. Hive

System Properties Comparison GeoSpock vs. H2GIS vs. Hive

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonH2GIS  Xexclude from comparisonHive  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleSpatial extension of H2data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Websitegeospock.comwww.h2gis.orghive.apache.org
Technical documentationwww.h2gis.org/­docs/­homecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperGeoSpockCNRSApache Software Foundation infoinitially developed by Facebook
Initial release20132012
Current release2.0, September 20193.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open 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 languageJava, JavascriptJavaJava
Server operating systemshostedAll 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.nono
Secondary indexestemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Supported programming languagesJavaC++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infobased on H2yes infouser defined functions and integration of map-reduce
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.noyes
User concepts infoAccess controlAccess rights for users can be defined per tableyes infobased on H2Access rights for users, groups and roles

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More resources
GeoSpockH2GISHive
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Recent citations in the news

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2 October 2020, AlexaBlockchain

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