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DBMS > Drizzle vs. Hive vs. MonetDB vs. Oracle Berkeley DB

System Properties Comparison Drizzle vs. Hive vs. MonetDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Berkeley DB  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 columnsWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitehive.apache.orgwww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookMonetDB BVOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2008201220041994
Current release7.2.4, September 20123.1.3, April 2022Dec2023 (11.49), December 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2Open Source infoMozilla Public License 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
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.yes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBCJDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, in SQL, C, Rno
Triggersno infohooks for callbacks inside the server can be used.noyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesfine grained access rights according to SQL-standardno

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More resources
DrizzleHiveMonetDBOracle Berkeley DB
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