Across Europe and North America, businesses processed over 120 billion transactions in 2023 using systems designed for speed and precision. These systems rely on operational databases, also called online transaction processing (OLTP) databases, which handle real-time updates and queries for tasks such as sales, inventory and customer records.
OLTP databases are structured to manage frequent, small-scale transactions with minimal delay. They use row-based storage to quickly access individual records, unlike analytical databases that store data in columns. This design ensures that when a customer checks out an online cart or a bank processes a withdrawal, the system responds in milliseconds.
The most common OLTP systems include MySQL, PostgreSQL and Microsoft SQL Server. These platforms support high concurrency, meaning thousands of users can update records simultaneously without conflicts. They also enforce ACID properties—atomicity, consistency, isolation and durability—to prevent errors like double bookings or lost payments.
Businesses choose OLTP databases when immediate accuracy matters. Retail chains use them for point-of-sale systems, banks for account balances and hospitals for patient admissions. Their strength lies in handling predictable workloads, not large historical analyses.
When data volumes grow or queries become complex, companies often add caching layers or migrate some workloads to analytical systems. But for day-to-day operations, OLTP remains the backbone of digital commerce and services.
Source: databricks.com