InfluxData's flagship product, InfluxDB, was rewritten from scratch in Rust due to performance demands of handling high-cardinality time series data. Rust's fearless concurrency, borrow checker, and foreign function interface capabilities made it an attractive choice for building a columnar database that could support the company's vision for all time series use cases. The new version, InfluxDB 3.0, offers significant performance gains, scalability, and cost savings through its use of Apache Arrow, columnar databases, and low-cost cloud object storage. Despite challenges such as a high learning curve, Rust's benefits have made it a key factor in InfluxData's decision to continue using the language for future development.