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Embedded Python/NumPy in MonetDB

Python is one of the most popular languages in Data Science. It is a flexible scripting language that is easy to use and has a large amount of available statistical libraries. When we're doing statistical analysis in Python, we naturally need data accessible to us in Python in some way. And what better place to keep data than in a database.

Large-scale astronomical high-cadence high-density pipeline with MonetDB

Today, astronomers are facing some of the hardest challenges working with petabyte-scale databases. Meng Wan, a researcher of the National Astronomical Observatories, Chinese Academy of Sciences (NAOC), has developed a data processing pipeline based on MonetDB for the Space-based multiband astronomical Variable Objects Monitor (SVOM) project [1], during her visit at the Database Architectures group of CWI. The pipeline is expected to store over 5 PB of data, while providing responses within seconds.

Introducing the MonetDB RESTful proxy

Since the release of the MonetDB Node.js module, we embarked on a small project to provide a RESTful interface to MonetDB. The MonetDB RESTful Proxy [1] [2] gives you a REST interface to access common database functionality.  In addition the proxy has an extended functionality for easier handling of JSON documents.

MonetDB Jul2015 released

The MonetDB team at CWI & MonetDB Solutions is pleased to announce the Jul2015 feature release of the MonetDB suite of programs. The plethora of platforms to be supported and OS upgrades called for a slight delay in our release cycle. A number of issues have been dealt with and a couple of highly interesting features have been included for the community to try out. Here are highlights of some of the changes in this release.

Astronomical data analysis with MonetDB Data Vaults

MonetDB Data Vaults (DV) are database-attached external files or file repositories [1]. Based on a concept similar to SQL/MED, they can be used for managing external data. One of the primary purposes of a data vault is to allow faster and easier processing of data stored in large file repositories.

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