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DBMS > Drizzle vs. H2 vs. Hive

System Properties Comparison Drizzle vs. H2 vs. Hive

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-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 Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.12
Rank#47  Overall
#30  Relational DBMS
Score81.93
Rank#15  Overall
#10  Relational DBMS
Websitewww.h2database.comhive.apache.org
Technical documentationwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperDrizzle project, originally started by Brian AkerThomas MuellerApache Software Foundation infoinitially developed by Facebook
Initial release200820052012
Current release7.2.4, September 20121.4.200, October 20193.1.2, August 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAll 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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
JavaC++
Java
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduce
Triggersno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable 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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users, groups and roles

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More resources
DrizzleH2Hive
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