OLTP systems are designed for processing and storing vast amounts of transactions quickly and accurately in real-time. They handle simple, quick transactions such as online banking, order entry, and retail sales, and are crucial for industries like banking, trading, and inventory management.
Write contention in traditional OLTP systems occurs when multiple transactions attempt to modify the same data concurrently. This contention can lead to delays and reduced performance, posing significant challenges for industries such as banking, trading, and inventory management.
TigerBeetle addresses write contention issues by redesigning the storage engine and consensus protocol, minimizing write contention and maximizing performance. It achieves this through techniques like sharding, where data is distributed across multiple nodes to reduce contention, and by using a consensus protocol that ensures all nodes agree on the order of transactions.