Update intro to mention datafreeze.

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Friedrich Lindenberg 2013-04-05 00:15:57 +02:00
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@ -15,7 +15,19 @@ to query and update incrementally?
The answer is that **programmers are lazy**, and thus they tend to prefer the easiest solution they find. And in **Python**, a database isn't the simplest solution for storing a bunch of structured data. This is what **dataset** is going to change! The answer is that **programmers are lazy**, and thus they tend to prefer the easiest solution they find. And in **Python**, a database isn't the simplest solution for storing a bunch of structured data. This is what **dataset** is going to change!
In short, dataset combines the straightforwardness of JSON files or a NoSQL store with the full power and flexibility of relational databases. **dataset** provides two key functions that make using SQL databases in
Python a breeze:
* A simple abstraction layer removes most direct SQL statements without
the necessity for a full ORM model - essentially, databases can be
used like a JSON file or NoSQL store.
* Database contents can be exported (*frozen*) using a sophisticated
plain file generator with JSON and CSV support. Exports can be configured
to include metadata and dynamic file names depending on the exported
data.
The exporter can also be used as a command-line tool, ``datafreeze``.
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