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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]
OLTP is often integrated into service-oriented architecture (SOA) and Web services. Online transaction processing (OLTP) involves gathering input information, processing the data and updating existing data to reflect the collected and processed information. As of today, most organizations use a database management system to support OLTP.
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.
ETL diagram in the context of online transaction processing [1] In online transaction processing (OLTP) applications, changes from individual OLTP instances are detected and logged into a snapshot, or batch, of updates. An ETL instance can be used to periodically collect all of these batches, transform them into a common format, and load them ...
ODBO is currently supported by a wide spectrum of server and client tools. [citation needed] When exposing the ODBO interface, the underlying multi-dimensional database must also support the MDX Query Language. XML for Analysis is a newer interface to MDX Data Sources that is often supported in parallel with ODBO. [citation needed]
OLAP server Company Website Latest stable version Software license License pricing Apache Doris Apache Software Foundation [1] 1.2.3 Apache 2.0: free Apache Druid: Apache Software Foundation [2] 29.0.0 [3] Apache 2.0: free Apache Kylin: Apache Software Foundation [4] 3.1.0 Apache 2.0: free Apache Pinot: Apache Software Foundation [5] 1.1.0 ...
The model retains the flexibility and potential for interactivity of spreadsheets, as well as the multidimensional hierarchical consolidations of relational-based OLAP tools. At the same time, the functional model overcomes the limitations of both the relational database model and classical spreadsheets.
The simple HTTP/JSON interface makes it very easy to integrate OLAP reports in web applications written in pure HTML and JavaScript. The Slicer server contains endpoints describing the cube metadata which helps to create generic reporting applications [6] that don't have to know the database model structure and conceptual hierarchies up-in-front.