Timbr provides a graph-style layer featuring ontology modeling and semantic reasoning in SQL, for virtual integration of data from diverse data sources, including data lakes and data warehouses. Timbr introduces a new paradigm for knowledge representation and machine learning support of data consumption, alleviating difficulties in integration and data management and providing conventional SQL-fluent databases with relationship-rich, smart knowledge graph capabilities. Timbr enables querying data from abstracted views with no-joins SQL queries that save time and effort.