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The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [2] OLAP is part of the broader category of business intelligence, which also encompasses relational databases, report writing and data mining. [3]
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.
OLTP is typically contrasted to online analytical processing (OLAP), which is generally characterized by much more complex queries, in a smaller volume, for the purpose of business intelligence or reporting rather than to process transactions. Whereas OLTP systems process all kinds of queries (read, insert, update and delete), OLAP is generally ...
These interpretations suggest different advantages, one being a database functionality. Recent advances in research, hardware, OLTP and OLAP capabilities, in-memory and cloud native database technologies, [8] scalable transactional management and products enable transactional processing and analytics, or HTAP, to operate on the same database ...
The following tables compare general and technical information for a number of online analytical processing (OLAP) servers. Please see the individual products articles for further information. Please see the individual products articles for further information.
Training: project aims to develop resources which can be used for training purposes in various media formats, languages and for various Apache and non-Apache target projects; Tuweni: set of libraries and other tools to aid development of blockchain and other decentralized software in Java and other JVM languages
NewSQL is a class of relational database management systems that seek to provide the scalability of NoSQL systems for online transaction processing (OLTP) workloads while maintaining the ACID guarantees of a traditional database system.
Multidimensional Expressions (MDX) is a query language for online analytical processing (OLAP) using a database management system. Much like SQL, it is a query language for OLAP cubes. [1] It is also a calculation language, with syntax similar to spreadsheet formulae.