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Cubes is a light-weight open source multidimensional modelling and OLAP toolkit for development reporting applications and browsing of aggregated data written in Python programming language released under the MIT License.
Cubes (OLAP server) is another lightweight open-source toolkit implementation of OLAP functionality in the Python programming language with built-in ROLAP. ClickHouse is a fairly new column-oriented DBMS focusing on fast processing and response times. DuckDB [32] is an in-process SQL OLAP [33] database management system.
Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...
Comparison of programming languages (algebraic data type) Comparison of programming languages (list comprehension) Comparison of programming languages (string functions) Conditional (computer programming) Control flow; Corecursion; Cubes (OLAP server) CuPy; Cycle detection; Cycle sort; Cyclic redundancy check; Cython
Mnesia is a distributed, soft real-time database management system written in the Erlang programming language. It is distributed as part of the Open Telecom Platform. MonetDB: MonetDB Solutions, CWI: 2004 SQL, ODBC, JDBC, C, C++, Java, Python, PHP, Node.js, Perl, Ruby, R, MAL open-source MonetDB License, based on MPL 2.0 as of version Jul2015.
Spanner, Google's global-scale distributed database, shards across multiple Paxos state machines to scale to "millions of machines across hundreds of data centers and trillions of database rows". [22] SQLAlchemy ORM, a data-mapper for the Python programming language shards. [23] SQL Server, since SQL Server 2005 shards with help of 3rd party ...
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. [2]
Django's primary goal is to ease the creation of complex, database-driven websites. The framework emphasizes reusability and "pluggability" of components, less code, low coupling, rapid development, and the principle of don't repeat yourself. [9] Python is used throughout, even for settings, files, and data models.