Learn DATALOG with Real Code Examples

Install a Datalog engine (Soufflé, Flix, LogicBlox, Datomic Datalog subset)

Set up project directory for rules and facts

Prepare .dl or .logic files depending on implementation

Load sample datasets (CSV or fact format)

Run evaluation to test parsing and inference

Install engine

Load facts

Configure relations and schemas

Verify rule syntax

Run fixed-point evaluation

facts/*.facts - base data

rules/*.dl - rule files

souffle.toml - Soufflé config

schema definition files

build scripts for analysis pipelines

souffle file.dl - run Soufflé rules

souffle -c file.dl - compile to C++

flix run program.flix - run Flix program

logicblox shell - LogicBlox interface

datomic query - run Datalog queries

Supports Unicode in facts

Independent of locale

Useful for multilingual datasets

Flexible fact encodings

Global academic usage

CLI-based tools available

Basic syntax makes it easy to start

Good documentation in modern engines

Easily portable between systems

Academic and industry tutorials

Not applicable - typically backend or CLI-driven

Outputs can be formatted into tables

Graphs generated from derived relations

Some IDE support in Flix

Visualization via external tools

Immutable facts

Derived relations as state

Layered rule evaluation

Database-backed fact storage

Separation of base vs. derived data

Relational datasets

Predicate-based filtering

Recursive relation generation

Joins and pattern matching

Logical inference for new facts