- Core: a virtual SQL ontology engine, effectively a SQL compiler/query-rewriter that turns ontology traversals and path expressions into optimized SQL pushed down to the source.
- Runs on top of: SQL data platforms including Databricks, Snowflake, and Microsoft Fabric, and the broader SQL ecosystem. Timbr connects to enterprise knowledge repositories, data warehouses, and data lakes, with native integration to Apache Spark SQL, R, Python, Java, and Scala. It sits above the database; it doesn’t replace it.
- Deployment: cloud, on-prem, or hybrid.
- Interfaces: standard SQL via JDBC/ODBC, semantic/REST APIs and a metrics store, and notebook access (Jupyter/Zeppelin). It also exposes governed SQL measures, OLAP-style cubes, a SQL Metrics Store, semantic APIs, NL2SQL, and GraphRAG/agent workflows.
- Interoperability: OWL import and RDF materialization to bridge to triplestores and reasoners.
