The Tanker inception is based on two strong observations (not
particularly new):
The object-relation mapping in so called libraries is sometimes
source of performance and semantic difficulties, especially with
queries involving multiple joins. On the other hand, the relational
model is both powerful and simple, and there are no reason not to
expose it to the Python world.
When working with external data sources, we are often faced with the
challenge of matching those records with the database content. We have to
know which record is new, which has been updated, etc. We also often
have to de-normalize content and map it with a (hopefully)
well-designed and 3NF schema.
This presentation will show how Tanker answers those two aspects, how
it was inspired by existing libraries and how it is currently used in
production applications.