Save the date! Monster Scale Summit 2027 is March 10-11. Call for speakers is open. Building at extreme scale? Submit a talk.
Discover the latest trends and best practices impacting data-intensive applications. Register for access to all 50+ sessions available on demand.
Terence share how Clearview AI's infra needs evolved and why they chose ScyllaDB after first-principles research. From fast ingestion to production queries, the talk explores their journey with Rust, embedded DB readers, and the ScyllaDB Rust driver—plus config tips for bulk ingestion and achieving data parity.
Terence Liu is a domain expert in building and deploying machine learning models, vector search engines, and distributed computing/data systems. Being an academically trained computational physicist, he is passionate about performance computing, and the fundamental hardware/language/software breakthroughs that accelerate its progress. Terence works at Clearview AI, a software vendor for public safety technologies.