SQLite can achieve impressive transaction rates, even in scenarios where conventional wisdom suggests it falls short. The author benchmarks SQLite against a network database (Postgres) on a MacBook Pro with an Apple M1 Pro chip and 16 GB of memory. They define transactions per second (TPS) as interactive transactions, which combine multiple queries and application logic. The tests reveal that while Postgres achieves around 13,756 TPS under optimal conditions, its performance drops significantly with network latency. For example, a 10ms delay reduces TPS to 702. As the author explains, this performance hit is compounded by Amdahl's Law, which states that improvements are limited by the slowest part of the system. In contrast, SQLite excels due to its embedded nature, which eliminates network latency. The benchmarks show SQLite hitting 44,096 TPS when handling transactions without the overhead of network communication. This performance advantage comes from its architecture as a single-writer database, allowing for efficient batching of operations. The author argues that what are often considered limitations of SQLite—like having only one writer—can actually be advantages that contribute to its high performance in specific use cases. The article effectively highlights how SQLite can outperform traditional databases in interactive transaction scenarios, especially when network delays are a factor.