After looking at the usual suspects like PostgreSQL, MySQL, SQLite and many others, we finally have chosen PyTables as the best bet for our data-platform. Most database management systems are making a trade-off between reasonably fast updates and reasonably fast reads of data. Based on several evaluations available on the web, we found that PyTables smokes all competition when it comes to superfast data retrieval.

In addition, of being very fast on reading large datasets, PyTables has the added bonus of being a native Python-based system. As we have Python selected as our main development platform, integrating PyTables will be easy.

MySQL will be used alongside PyTables for less speed-intensive data-tasks.

NOTE: This news-article is presented here for historical perspective only.

This article is more than two years old. Therefore, information in this article might have changed, become incomplete, or even completely invalid since its publication date. Included weblinks (if present in this article) might point to pages that no longer exist, have been moved over time, or now contain unrelated or insufficient information. No expectations or conclusions should be derived from this article or any forward-looking statements therein.