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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
Database modelRelational DBMS
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Score1.49
Rank#101  Overall
#48  Relational DBMS
Websitewww.monetdb.org
Technical documentationwww.monetdb.org/­Documentation
DeveloperMonetDB BV
Initial release2004
Current releaseDec2016-SP2, March 2017
License Commercial or Open SourceOpen Source proprietary license
Cloud-based Only available as a cloud serviceno
Implementation languageC
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes
Typing predefined data types such as float or dateyes
Secondary indexesyes
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)yes SQL 2003 with some extensions
APIs and other access methodsnative C library MAPI library (MonetDB application programming interface)
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts Stored proceduresyes, in SQL, C, R
Triggersyes
Partitioning methods Methods for storing different data on different nodesSharding via remote tables
Replication methods Methods for redundantly storing data on multiple nodesnone Master-slave replication available in experimental status
MapReduce Offers an API for user-defined Map/Reduce methodsno
Foreign keys Referential integrityyes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of dataACID
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes
User concepts Access 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

MonetDB Goes Headless
20 December 2016

MonetDB autumn 2016 feature release outlook
31 July 2016

MonetDB/Python Loader Functions
27 July 2016

DataFungi, from Rotting Data to Purified Information
20 May 2016

Continuous Integration of MonetDB and SKA using Jenkins
24 March 2016

3rd party products and services

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
MonetDB
Recent citations in the news

CWI spin-off MonetDB Solutions teams up with Numascale
3 February 2015, Centrum Wiskunde & Informatica (CWI)

CWI and MonetDB in Big Data research project
3 April 2014, Centrum Wiskunde & Informatica (CWI)

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

Julien Le Dem on the Future of Column-Oriented Data Processing with Apache Arrow
8 December 2016, InfoQ.com

Guest View: The first release of Apache Arrow
28 November 2016, SDTimes.com

provided by Google News




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