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MonetDB embraces Node.js

As the Node.js community is growing stronger, and we have started to experiment with the framework ourselves, we deem it useful for Node.js users to have a native MonetDB connector. Using MonetDB as the data store for your analytical web app can improve your user appreciation significantly.

This is the current list of Node.js modules developed by the MonetDB team:

"Data Rotting" concept receives CIDR 2015 Wildest Idea award

Martin Kersten received "The Wildest Idea" award at the Gong Show of the Conference on Innovative Data Systems Research (CIDR) 2015. The award is given for his thought provoking "Big Data Space Fungus", which addresses data rotting in modern data management pipelines.

MonetDB and R sandbox for VirtualBox

The MonetDB team has been working on ways to simplify the deployment of MonetDB. As a first step, we are releasing a virtual machine image of our MonetDB Analytical Database with R.

MonetDB SQL transaction management scheme

The transaction management scheme deployed in MonetDB sometimes creates confusion with application developers. In particular how are transactions committed, persisted and isolated to guarantee the ACID properties of SQL. Most of the confusion stems from the difference between OnLine-Analytical-Processing (OLAP) and OnLine-Transaction-Processing (OLTP).

Embedded R in MonetDB

For some time now, we have had the MonetDB.R package on CRAN, which allows you to connect to a MonetDB server from an R session. This package uses the MAPI protocol to talk to MonetDB over a standard socket. In addition to running queries, the package also supports the more high-level dplyr API. 

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