Dev-C++ vs. FastCube FMX vs. JavaScript vs. python-sql Comparison Chart

FastCube enables you to analyze data and to build summary tables (data slices) as well as create a variety of reports and graphs both easily and instantly. It's a handy tool for the efficient analysis of data arrays. FastCube FMX is a set of OLAP Desktop components. It supports Embarcadero Delphi XE4-XE7, C++Builder XE4-XE7, RAD Studio XE4, Embarcadero RAD Studio 10.3 Rio and higher. You can integrate it to applications for MS Windows and Apple Mac OS X. This components can be built into the interface of host applications. FastCube FMX end users do not require high programming skills to build reports. FastCube FMX is a set of OLAP Desktop components for Delphi/C++Builder/Lazarus. Connection to data-bases can be not only through the standard ADO or BDE components but also through any component based on TDataSet. Instant downloading and handling of data arrays. Ready-made templates can be built for summary tables.

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.