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DBMS > H2GIS vs. Hive vs. Tkrzw

System Properties Comparison H2GIS vs. Hive vs. Tkrzw

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonHive  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionSpatial extension of H2data warehouse software for querying and managing large distributed datasets, built on HadoopA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSpatial DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.h2gis.orghive.apache.orgdbmx.net/­tkrzw
Technical documentationwww.h2gis.org/­docs/­homecwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperCNRSApache Software Foundation infoinitially developed by FacebookMikio Hirabayashi
Initial release201320122020
Current release3.1.3, April 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMLinux
macOS
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Supported programming languagesJavaC++
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infobased on H2yes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesyes infousing specific database classes
User concepts infoAccess controlyes infobased on H2Access rights for users, groups and rolesno

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More resources
H2GISHiveTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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