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DBMS > H2GIS vs. HBase vs. Hive vs. MySQL

System Properties Comparison H2GIS vs. HBase vs. Hive vs. MySQL

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonHBase  Xexclude from comparisonHive  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionSpatial extension of H2Wide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used open source RDBMS
Primary database modelSpatial DBMSWide column storeRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websitewww.h2gis.orghbase.apache.orghive.apache.orgwww.mysql.com
Technical documentationwww.h2gis.org/­docs/­homehbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedev.mysql.com/­doc
DeveloperCNRSApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookOracle infosince 2010, originally MySQL AB, then Sun
Initial release2013200820121995
Current release2.3.4, January 20213.1.3, April 20228.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoApache version 2Open Source infoApache Version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaJavaJavaC and C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infobased on H2yes infoCoprocessors in Javayes infouser defined functions and integration of map-reduceyes infoproprietary syntax
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2Multi-source replication
Source-replica replication
selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyes infobased on H2Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesUsers with fine-grained authorization concept infono user groups or roles

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H2GISHBaseHiveMySQL
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