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performance

The taxi journey continues

After the release of MonetDB/e Python, which brought the power of MonetDB data analytics to the world of Python embedded databases, we set out to expand its reach to the Java environment. Our goal is to provide a lightweight, full-featured embedded database that harnesses MonetDB’s columnar analytics power while keeping the familiar JDBC interface. The power of a full-fledged database server at your fingertips as an embeddable library.

MonetDB/e: an embedded analytical SQL engine on Windows

With the release of MonetDB/e, we have a new member in the family of embedded DBMSs on Windows optimised for data analytics. How does it compare to some long term members in this family, e.g. SQLite3 and Microsoft SQLserver Express? Let’s take MonetDB/e on another quick trip with the NYC taxi benchmark as demonstrated in a Linux setting before.

Taking MonetDB/e for a taxi ride

In this article, we illustrate the performance potential of MonetDB/e for data analytics with the NYC Taxi benchmark.

Faster, robuster and feature richer: MonetDB in 2020 and beyond

The MonetDB team has completed her major development strands for 2020. The MonetDB Oct2020 feature release includes significant improvements in performance under frequent bulk-update transactions, highly requested features such as point-in-time database backup and more analytics features, and many more extensions for the convenience of application developers.
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