![]() Relational databases are a good option for OLTP because it requires a database that can handle a large number of queries and updates while supporting fast response times. While the applications may be complex, these updates are usually simple and involve only a few database records.Ī relational database management system is often used to manage OLTP. OLTP involves taking transactional data, processing it and updating a back-end database to reflect the new input. ![]() It is designed to support global online transaction processing. For example, Google Cloud Spanner is a distributed relational database service that runs on Google Cloud. To avoid single points of failure, OLTP systems are often decentralized. In order for a transaction to be completed successfully, all database changes must be permanent, a condition known in computing as atomic statefulness. Concurrency prevents multiple users from altering the same data at the same time. Atomicity guarantees that if one step is incomplete or fails during the transaction, the process will not continue. ![]() Two important characteristics of an OLTP system are concurrency and atomicity. Many everyday acts involve OLTP, including online banking, online shopping and even in-store shopping when the point of sale (POS) terminal is tied to inventory management software. In computing, a transaction is a sequence of discrete information exchanges that are treated as a unit. OLTP (online transaction processing) is a class of software programs capable of supporting transaction-oriented applications.
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