I was wondering how performant Golang is, so I decided to put together a little benchmarking example for myself.

The benchmark will be done in my personal computer:

Processor  3 GHz Intel Core i7
Memory  8 GB 1600 MHz DDR3
Software  OS X 10.9.2 (13C64)

So I started with Python, which is what I know best and created the following simple script;

The reason for the total output, was to have a check to ensure that I was getting the same results in each of the scripts. To make sure that they are doing the same amount of work.

I started a new project with the name OpenMining, new application server written in Python.

OpenMining is software for creating OLAP (online analytical processing) cubes (multi-dimensional) using Numpy, Scipy and Pandas for data management and flexibility in processing dynamical filters. Open-source provider of reporting, analysis, dashboard, data mining and workflow capabilities.

Our goals

• Business Intelligence software (Pentaho/Jaspersoft) alternative;
• OLAP manager;
• Generate report (grid, charts, pdf and etc);
• Dashboard manager, link one or more element (report);
• Easy dashboard generate;
• Not one data is processed on the basis of source data;
• Friendly interface;
• Used websocket on cube load.

Python libs used

• Pandas
• Numpy
• numexpr
• ipython
• Tornado
• SQLAlchemy
• RQ
• Riak client
• Redis client
• Memcached client

More about OLAP cube

A cube can be considered a generalization of a three-dimensional spreadsheet. For example, a company might wish to summarize financial data by product, by time-period, and by city to compare actual and budget expenses. Product, time, city and scenario (actual and budget) are the data's dimensions.