Rust and ScyllaDB: 3 Ways to Improve Performance

The blog post discusses the development and performance improvements of the scylla-rust-driver, an open-source driver for ScyllaDB and Apache Cassandra, written in Rust with an asynchronous API using Tokio. It highlights how the Rust driver outperformed other drivers in benchmarks, leading to its potential use as a unified core for various drivers. The post is based on a ScyllaDB University lesson and covers key topics like Prepared Statements, Paging, and Retries, demonstrating how minor changes can enhance application performance. Prepared Statements involve pre-parsing queries for reuse, reducing database-side calculations. Paging returns large data sets in chunks, improving memory usage and performance, while Retry Policies manage query failures by determining when to retry based on the likelihood of success. The post provides practical examples using ScyllaDB and encourages further learning and certification through ScyllaDB University, emphasizing the benefits of these techniques in building high-performance applications.