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DBMS > MonetDB

MonetDB System Properties

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Editorial information provided by DB-Engines
NameMonetDB
DescriptionA relational database management system that stores data in columns
Primary database modelRelational DBMS
Secondary database modelsDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.50
Rank#112  Overall
#58  Relational DBMS
Websitewww.monetdb.org
Technical documentationwww.monetdb.org/­Documentation
DeveloperMonetDB BV
Initial release2004
Current releaseAug2018, August 2018
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0
Cloud-based infoOnly available as a cloud serviceno
Implementation languageC
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
Secondary indexesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensions
APIs and other access methodsnative C library infoMAPI library (MonetDB application programming interface)
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, R
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
MonetDB
Specific characteristics
  • Column-store
  • In-memory optimized
  • GeoSpatial support
  • JSON document support
Competitive advantages
  • Scalable architecture - vertical data organization and in-memory optimization guarantee fast query responses for very large datasets, without substantial hardware investments.
  • In-database analytics with embedded R - combine the flexibly of statistical software with the performance of database management system for no-hassle analytics. Access all statistical analysys function with no copying data between system for maximum performance and no data transformations.
  • Automated & adaptive indices - no extra DBA work for index management.
  • Standards compliant - easy to integration in most ETL, BI and analytics stacks.
Typical application scenarios
  • Analytical database, Data warehouse, OLAP 
  • Data mining
  • Scientific database
Key customers

NumascaleSpinqueSecurActiveCHS, NOZHUP

Licensing and pricing models

Free and open-source software, Mozilla Public License 2.0

Commercial support available

News

Remote Tables and Authorization
10 August 2018

IoT and streaming in MonetDB
26 July 2018

JIT C/C++ UDFs in MonetDB
23 May 2018

MonetDBLite for Java
7 February 2018

Interactive Debugging for Python UDFs
1 November 2017

Related products and services

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More resources
MonetDB
Recent citations in the news

Mark Raasveldt wins Student Research Competition at SIGMOD 2018
22 June 2018, Centrum Wiskunde & Informatica (CWI)

Numascale Works with MonetDB to Extend the NumaQ In-Memory Analytics Offering
16 February 2015, EnterpriseTech

Storing and Querying Trillions of Events
9 February 2017, DZone News

CWI and Databricks launch new collaboration in the presence of Minister Kamp
25 April 2017, Centrum Wiskunde & Informatica (CWI)

Accelerating Big Data Analytics with Vector Processing: A Q&A with Peter Boncz of Actian - B-EYE
5 September 2014, Network

provided by Google News

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