RiverBench is an open, community-driven RDF streaming benchmark suite. It includes a varied collection of datasets and tasks, representing many real-life use cases. It can be used for benchmarking and testing of streaming and non-streaming RDF engines, compression algorithms, triple stores, and other tools.
✨ All information about using RiverBench and contributing to it can be found on the website.
❓ How to use RiverBench in your study? See the quick start guide on the website.
