pyDatalog adds the logic programming paradigm to Python's toolbox, in a pythonic way. You can now run logic queries on databases or Python objects, and use logic clauses to define python classes.
Datalog is a truly declarative language derived from Prolog, with strong academic foundations. It complements Python very well for:
- managing complex sets of related information (e.g. in data integration or the semantic web).
- simulating intelligent behavior (e.g. in games),
- performing recursive algorithms (e.g. in network protocol, code and graph analysis, parsing)
- solving discrete constraint problems.
In particular, pyDatalog can be used as a query language:
- it can perform multi-database queries (from memory datastore, 11 relational databases, and noSQL database with appropriate connectors)
- it is more expressive than SQL, with a cleaner syntax;
- it facilitates re-use of SQL code snippet (e.g. for frequent joins or formula);
Datalog excels at accelerated development : Datalog programs are often shorter than their Python equivalent, and Datalog statements can be specified in any order, as simply as formula in a spreadsheet.