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DBMS > Drizzle vs. Hive vs. MonetDB vs. Riak KV

System Properties Comparison Drizzle vs. Hive vs. MonetDB vs. Riak KV

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparisonRiak KV  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA relational database management system that stores data in columnsDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitehive.apache.orgwww.monetdb.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookMonetDB BVOpenSource, formerly Basho Technologies
Initial release2008201220042009
Current release7.2.4, September 20123.1.3, April 2022Dec2023 (11.49), December 20233.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infoMozilla Public License 2.0Open Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCErlang
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBCJDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
C++
Java
PHP
C++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, in SQL, C, RErlang
Triggersno infohooks for callbacks inside the server can be used.noyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornone infoSource-replica replication available in experimental statusselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesfine grained access rights according to SQL-standardyes, using Riak Security

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More resources
DrizzleHiveMonetDBRiak KV
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