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  2. Comparison of OLAP servers - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_OLAP_servers

    A list of OLAP features that are not supported by all vendors. All vendors support features such as parent-child, multilevel hierarchy, drilldown. Data processing, management and performance related features:

  3. Kinetica (software) - Wikipedia

    en.wikipedia.org/wiki/Kinetica_(software)

    Kinetica is a distributed, memory-first OLAP database developed by Kinetica DB, Inc. Kinetica is designed to use GPUs and modern vector processors to improve performance on complex queries across large volumes of real-time data. Kinetica is well suited for analytics on streaming geospatial and temporal data. [1]

  4. Online transaction processing - Wikipedia

    en.wikipedia.org/wiki/Online_transaction_processing

    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.

  5. Apache Druid - Wikipedia

    en.wikipedia.org/wiki/Apache_Druid

    The name Druid comes from the shapeshifting Druid class in many role-playing games, to reflect that the architecture of the system can shift to solve different types of data problems. Druid is commonly used in business intelligence-OLAP applications to analyze high volumes of real-time and historical data. [4]

  6. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Both a schema and a database can be used to isolate one table, "foo", from another like-named table "foo". The following is pseudo code: SELECT * FROM database1. foo vs. SELECT * FROM database2. foo (no explicit schema between database and table) SELECT * FROM [database1.] default. foo vs. SELECT * FROM [database1.] alternate. foo (no explicit ...

  7. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    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]

  8. XML for Analysis - Wikipedia

    en.wikipedia.org/wiki/XML_for_Analysis

    XML for Analysis (XMLA) is an industry standard for data access in analytical systems, such as online analytical processing (OLAP) and data mining. XMLA is based on other industry standards such as XML, SOAP and HTTP. XMLA is maintained by XMLA Council with Microsoft, Hyperion and SAS Institute being the XMLA Council founder members.

  9. Functional database model - Wikipedia

    en.wikipedia.org/wiki/Functional_Database_Model

    Spreadsheets have a key set of characteristics that facilitate modeling and analysis. Data from multiple sources can be brought together in one worksheet. Cells can be defined by means of calculation formulas in terms of other cells, so facts from different sources can be logically interlinked to calculate derived values.