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The MonetDB/e Python interface for data analytics

We made the MonetDB/e functionality available as a simple drop-in library in Python 3 with a Python/SQLite3 compatible interface to smooth its adoption by users of embedded DBMS.

MonetDB/e, a mature embedded SQL DBMS

We introduce MonetDB/e, our new full-fledged embedded DBMS for data analytics. It encapsulates the full SQL functionality offered by MonetDB, including a rich collection of data types, triggers, schema management, and persistent stored modules.

Doctor, what’s happening with my query in the MonetDB kernel?

All database users will recognize this situation. A user has started a query and it takes ages before the result set is available or, even worse, the database server seems unresponsive. In production systems, this is countered by logging all queries whose response time exceed a high-watermark or to tap into the system using a network monitoring system to observe its CPU and I/O behaviour. However, this only helps in post-mortem analysis. Monitoring all running queries alone is also not sufficient. It can only raise the red flag.

From automake to CMake: a facelift for our build infrastructure

The MonetDB project runs since early 1993 when the first lines of code were written. Initially developed for Unix only, it became clear that moving MonetDB into the open-source community in 2003 comes with the obligation to make it available on many platforms.

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