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DataFusion Community Showcase Vol. 4: RDF Fusion & Cloudflare R2 SQL (63 minute video)
DataFusion is expanding its utility through custom extensions that bridge RDF graphs with temporal logic and serverless SQL for object storage.
What: The DataFusion community showcase highlights two advanced implementations: one combining temporal graph logic (RDF) with time-series data, and Cloudflare’s AutoSQL, which provides distributed serverless SQL query execution over Apache Iceberg tables and Cloudflare R2 storage.
Why it matters: DataFusion is increasingly becoming the standard engine for building custom, highly specialized database engines rather than just serving as a general-purpose analytical library.
Decoder
- DataFusion: An extensible query engine written in Rust that provides the foundation for building high-performance database systems.
- RDF: Resource Description Framework; a standard for modeling data as a graph of subject-predicate-object triples.
- Apache Iceberg: An open table format for huge analytical datasets that tracks data files, providing efficient performance for large-scale data lakes.
- R2: Cloudflare's S3-compatible object storage service.
Original article
Two projects push DataFusion beyond standard analytics: one combines RDF graphs with time-series and temporal logic, while Cloudflare's AutoSQL uses it for distributed serverless SQL over Iceberg and R2. Both rely heavily on custom planning, pruning, joins, and execution optimizations.
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