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DBMS > H2 vs. Hive vs. WakandaDB

System Properties Comparison H2 vs. Hive vs. WakandaDB

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHive  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitewww.h2database.comhive.apache.orgwakanda.github.io
Technical documentationwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewakanda.github.io/­doc
DeveloperThomas MuellerApache Software Foundation infoinitially developed by FacebookWakanda SAS
Initial release200520122012
Current release2.2.220, July 20233.1.3, April 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, JavaScript
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
OS X
Windows
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 indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesJavaC++
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduceyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable 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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyes

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H2HiveWakandaDB
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