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A database is an organized collection of data. Databases offer fast retrieval times for non-structured requests as in a typical transaction processing application. Databases for transaction processing may be constructed using hierarchical, network, or relational structures. Hierarchical structure: organizes data in a series of levels.
It is also possible to keep a separate journal of all modifications to a database management system. (sometimes called after images).This is not required for rollback of failed transactions but it is useful for updating the database management system in the event of a database failure, so some transaction-processing systems provide it.
The term "transaction" can have two different meanings, both of which might apply: in the realm of computers or database transactions it denotes an atomic change of state, whereas in the realm of business or finance, the term typically denotes an exchange of economic entities (as used by, e.g., Transaction Processing Performance Council or commercial transactions.
Since the early 1990s, the operational database software market has been largely taken over by SQL engines. In 2014, the operational DBMS market (formerly OLTP) was evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines, as well as XML databases and NewSQL databases.
The IBM Information Management System (IMS) is a joint hierarchical database and information management system that supports transaction processing. [1] Development began in 1966 to keep track of the bill of materials for the Saturn V rocket of the Apollo program, and the first version on the IBM System/360 Model 65 was completed in 1967 as ICS/DL/I and officially installed in August 1968.
However, they developed to what are now known as transaction processing monitors (TPMs). A TPM breaks down applications or code into transactions and ensures that all databases are updated in a single transaction. This is useful for airline reservations, car rentals, hotel accommodations, ATM transactions or other high volume transaction ...
Most applications of HTAP are enabled by in-memory technologies that can process a high volume of transactions and offer features such as forecasting and simulations. New HTAP technologies use scalable transactional processing, and do not need to rely on keeping the whole database in-memory.
Since XA uses two-phase commit, the advantages and disadvantages of that protocol generally apply to XA. The main advantage is that XA (using 2PC) allows an atomic transaction across multiple heterogeneous technologies (e.g. a single transaction could encompass multiple databases from different vendors as well as an email server and a message broker), whereas traditional database transactions ...