Kolibrie is a high-performance SPARQL query engine built in Rust, designed for speed, scalability, and precision in knowledge graph processing.
Built in Rust with SIMD and parallel processing to provide zero-cost abstractions and unparalleled query speed.
Features the Streamertail cost-based optimizer and efficient multi-format RDF parsing for maximum throughput.
Real-time analysis with timestamped triples and support for complex sliding and tumbling window operations.
A built-in reasoning engine using semi-naive rule evaluation to infer new facts dynamically.
Execute ML predictions directly within SPARQL queries using semantic ML schemas and Python model handlers.
Full interoperability via PyO3, bringing Rust's performance to your Python data science and AI pipelines.
Kolibrie demonstrates superior query execution times compared to existing SPARQL engines, leveraging Rust's performance capabilities and advanced optimization techniques.
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