What is Online Transaction Processing?
OLTP definition
OLTP, or Online Transaction Processing, is a type of data processing that involves performing multiple simultaneous transactions, such as online banking, shopping, order entry, or sending text messages. These transactions, traditionally known as economic or financial transactions, are recorded and secured so that businesses can access the information at any time for accounting or reporting purposes. oltp database
In the past, OLTP was limited to real-world interactions exchanging something—money, products, information, service requests, and so on. But over the years, and especially since the advent of the Internet, the definition of a transaction in this context has expanded to encompass any type of digital interaction or engagement with a business that can be triggered from anywhere in the world and through any network-connected sensor. It also includes Any type of interaction or action, such as downloading a pdf on a web page, viewing a specific video, or automatically maintaining a trigger or comment on a social channel, can be critical for a business to document to better serve customers.
Understanding Autonomous Transaction Processing
The primary definition of transactions (economic or financial) is still the basis of most OLTP systems, so online transaction processing usually involves inserting, updating and/or deleting small amounts of data in data stores to collect, manage and secure these transactions. Typically, a web, mobile or enterprise application keeps track of all these interactions or transactions with customers, suppliers or partners and updates them in an OLTP database. Transactional data stored in databases is vital to businesses and can be used for reporting or analysis for data-driven decision making.
Read how other companies like Retraced, Archaeological Park of Pompeii, Jasci, or Siemens have successfully built their transaction processing workloads in the cloud.
Businesses usually have two types of data processing capabilities: OLTP and OLAP.
