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timbr.ai named a Cool Vendor in the 2021 Gartner ‘Cool Vendors in Data Management’ report

Frequently Asked Questions

General

Connectivity

Connectivity

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

timbr supports query of JSON and XML using Apache Spark.

Category: Connectivity

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

Category: Connectivity

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

Category: Connectivity

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

Category: Connectivity

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.

Category: Connectivity

Ontology Implementation

Performance