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    <ol> <li><p>There is <a href="http://blog.redfin.com/devblog/2012/03/json_in_postgres.html" rel="nofollow">schema-less Postgresql</a> (Postgresql 9.2 + json). Not as hard/confusing to set up as I thought. You get lots of flexibility with queries while still getting the benefits of schema-less storage. PG 9.2 includes plv8js, a new language handler that allows you to create functions in JavaScript. Here is one example of how you can index and query JSON docs in PG 9.2: <a href="http://people.planetpostgresql.org/andrew/index.php?/archives/249-Using-PLV8-to-index-JSON.html" rel="nofollow">http://people.planetpostgresql.org/andrew/index.php?/archives/249-Using-PLV8-to-index-JSON.html</a></p></li> <li><p>CouchDB (Use BigCouch. Based on CouchDB, but fewer bugs/problems.):</p> <ul> <li>very low memory requirements. </li> <li>schema-less. </li> <li>HTTP-based interface. Ruby has plenty of HTTP clients. HTTP caching (like Varnish) can also speed reads.</li> <li>creative/complex queries. You can create indexes and queries on any key in the document (record). You can get very creative with queries since the indexes are very programmable.</li> </ul> <p>Downsides:</p> <ul> <li>Learning curve of setting up your queries/indexes.</li> <li>You have to schedule a type of cleanup operation called "compaction".</li> <li>Data will take up more space compared to other databases. </li> <li>More: <a href="http://www.paperplanes.de/2010/7/26/10_annoying_things_about_couchdb.html" rel="nofollow">http://www.paperplanes.de/2010/7/26/10_annoying_things_about_couchdb.html</a></li> </ul> <p>If disk is cheap and memory expensive, it would make a good candidate for your needs.</p> <p>"...another strength of CouchDB, which has proven to serve thousands of concurrent requests only needed about 10MB of RAM - how awesome is that?!?!" (From: <a href="http://www.larsgeorge.com/2009/03/hbase-vs-couchdb-in-berlin.html" rel="nofollow">http://www.larsgeorge.com/2009/03/hbase-vs-couchdb-in-berlin.html</a> )</p></li> </ol>
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