Complex data analysis / processing made easy #Relational database system #Complex data analysis #Complex data processing #Relational #Database #System
madIS is an extensible relational database system built on top of the SQLite database with extensions implemented in Python (via APSW SQLite wrapper).
madIS feels like Hive (Hadoop's SQL with User Defined Functions language), but without the overhead but also without the distributed processing capabilities.
However, madIS can easily handle millions of rows on a single desktop/laptop computer.
The aim of madIS is to promote the handling of data related tasks within an extended relational model.
This way, it upgrades the database, from having a support role (storing and retrieving data), to being a full data processing system on its own. madIS comes with functions for file import/export, keyword analysis, data mining tasks, fast indexing, pivoting, statistics and workflow execution.
madIS is cross-platform and it works on Mac OS X, Windows and Linux.
Detailed instructions on how to install and use the madIS utility on your Mac are available HERE.
System requirements
madIS 1.7.3
add to watchlist add to download basket send us an update REPORT- runs on:
- Mac OS X (-)
- file size:
- 1.5 MB
- filename:
- madis-v1.7.3.zip
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