Yes, GraphQL is supported by integrating external open source projects that support the translation of GraphQL to SQL.

timbr supports query of JSON and XML using Apache Spark.

Yes, this could be generated easily (creating the SQL DDL statements of timbr directly from the XML hierarchy/relationships).

Yes, moving from SPARQL to timbr’s simplified SQL is quite trivial and easy to do.

Yes, timbr works extensively with SQLAlchemy. Another valid option for python users is DataFrames.

Yes, timbr is compatible with OWL-DL and some OWL-2 inferences.
If there is a clear business value to add more OWL-2 inferences, we can support them as well. timbr’s inference engine is based on query-rewriting techniques. If timbr encounters slow queries/performance, timbr can specifically materialize the part of knowledge that is required.