The development of MonetDB was co-funded by the HBP during the Ramp-up Phase. This page is kept for reference but will no longer be updated.
When a database grows into millions of records spread over many tables and business intelligence or science becomes the prevalent application domain, a column-store database management system (DBMS) is called for. Unlike traditional row-stores, such as MySQL and PostgreSQL, a column-store provides a modern and scalable solution without calling for substantial hardware investments.
MonetDB pioneered column-store solutions for high-performance data warehouses for business intelligence and eScience since 1993. It achieves its goal by innovations at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, modern CPU-tuned query execution architecture, automatic and adaptive indices, run-time query optimization, and a modular software architecture. It is based on the SQL 2003 standard with full support of foreign keys, joins, views, triggers, and stored procedures. It is fully ACID compliant and supports a rich spectrum of programming interfaces (JDBC, ODBC, PHP, Python, RoR, C/C++, Perl).
The current version provides the following new features as compared to the version that was part of the HBP-internal Platform Release in M18:
The development of Deflect Client Library was co-funded by the HBP during the Ramp-up Phase. This page is kept for reference but will no longer be updated.
Deflect is a C++ library to develop applications that can send and receive pixel streams from other Deflect-based applications, for example DisplayCluster. The following applications are provided which make use of the streaming API:
DesktopStreamer: A small utility that allows the user to stream the desktop.
SimpleStreamer: A simple example to demonstrate streaming of an OpenGL application.
This website describes the results of the “High Performance Analytics and Computing” (HPAC) Platform of the Human Brain Project (HBP) from the first three project phases (Ramp-up Phase 10/2013-03/2016, SGA1 04/2016-03/2018 and SGA2 04/2018-03/2020).
Due to a major project-internal reorganisation, this website will no longer be updated after March 2020.
More recent information can be found on humanbrainproject.eu and ebrains.eu.
Information about the Fenix Research Infrastructure and the ICEI project, including resource access, are available on their website.
Follow EBRAINS Computing Services@HBPHighPerfComp and Fenix RI@Fenix_RI_eu on Twitter to learn about the most recent developments and to get to know about upcoming opportunities for calls and collaborations!
