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POLow memory and fastest querying database for a Python project
 

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    <p>I'm migrating a GAE/Java app to Python (non-GAE) due new pricing, so I'm getting a little server and I would like to find a database that fits the following requirements:</p> <ul> <li>Low memory usage (or to be tuneable or predictible)</li> <li>Fastest querying capability for simple document/tree-like data identified by key (I don't care about performance on writing and I assume it will have indexes)</li> <li>Bindings with Pypy 1.6 compatibility (or Python 2.7 at least)</li> </ul> <p>My data goes something like this:</p> <ul> <li>Id: short key string</li> <li>Title</li> <li>Creators: an array of another data structure which has an id - used as key -, a name, a site address, etc.</li> <li>Tags: array of tags. Each of them can has multiple parent tags, a name, an id too, etc.</li> <li>License: a data structure which describes its license (CC, GPL, ... you say it) with name, associated URL, etc.</li> <li>Addition time: when it was add in our site.</li> <li>Translations: pointers to other entries that are translations of one creation.</li> </ul> <p>My queries are very simple. Usual cases are:</p> <ul> <li>Filter by tag ordered by addition time.</li> <li>Select a few (pagination) ordered by addition time.</li> <li>(Maybe, not done already) filter by creator.</li> <li>(Not done but planned) some autocomplete features in forms, so I'm going to need search if some fields contains a substring ('LIKE' queries).</li> </ul> <p>The data volume is not big. Right now I have about 50MB of data but I'm planning to have a huge dataset around 10GB.</p> <p>Also, I want to rebuild this from scratch, so I'm open to any option. What database do you think can meet my requirements?</p> <p>Edit: I want to do some benchmarks around different options and share the results. I have selected, so far, MongoDB, PostgreSQL, MySQL, Drizzle, Riak and Kyoto Cabinet.</p>
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