Databases
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    <p>Plain text files in a filesystem</p> <ul> <li>Very simple to create and edit</li> <li>Easy for users to manipulate with simple tools (i.e. text editors, grep etc)</li> <li>Efficient storage of binary documents</li> </ul> <hr> <p>XML or JSON files on disk</p> <ul> <li>As above, but with a bit more ability to validate the structure.</li> </ul> <hr> <p>Spreadsheet / CSV file</p> <ul> <li>Very easy model for business users to understand</li> </ul> <hr> <p>Subversion (or similar disk based version control system)</p> <ul> <li>Very good support for versioning of data</li> </ul> <hr> <p><a href="http://www.oracle.com/technology/products/berkeley-db/index.html" rel="noreferrer">Berkeley DB</a> (Basically, a disk based hashtable)</p> <ul> <li>Very simple conceptually (just un-typed key/value)</li> <li>Quite fast</li> <li>No administration overhead</li> <li>Supports transactions I believe</li> </ul> <hr> <p><a href="http://www.amazon.com/SimpleDB-AWS-Service-Pricing/b/ref=sc_fe_l_2?ie=UTF8&amp;node=342335011&amp;no=3435361&amp;me=A36L942TSJ2AJA" rel="noreferrer">Amazon's Simple DB</a></p> <ul> <li>Much like Berkeley DB I believe, but hosted</li> </ul> <hr> <p><a href="http://code.google.com/appengine/docs/datastore/" rel="noreferrer">Google's App Engine Datastore</a></p> <ul> <li>Hosted and highly scalable</li> <li>Per document key-value storage (i.e. flexible data model)</li> </ul> <hr> <p><a href="http://incubator.apache.org/couchdb/" rel="noreferrer">CouchDB</a></p> <ul> <li>Document focus</li> <li>Simple storage of semi-structured / document based data</li> </ul> <hr> <p>Native language collections (stored in memory or serialised on disk)</p> <ul> <li>Very tight language integration</li> </ul> <hr> <p>Custom (hand-written) storage engine</p> <ul> <li>Potentially very high performance in required uses cases</li> </ul> <hr> <p>I can't claim to know anything much about them, but you might also like to look into <a href="http://en.wikipedia.org/wiki/Object_database" rel="noreferrer">object database systems</a>.</p>
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    1. POGood reasons NOT to use a relational database?
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    1. USMike Morearty
    1. USMatt Sheppard
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    1. POGood reasons NOT to use a relational database?
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    1. COIt would be great if you also explained the drawbacks of each choice, otherwise how is one supposed to choose? Thanks,
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      1. USSklivvz
    2. COAlso writing millions of rows into a DB can take a day while appending a million lines of log to a file takes mere minutes. I will never understand why people insist on putting log data into a database.
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      1. USAaron Digulla
    3. COAaron: I have one reason: SELECT messages FROM log WHERE (date BETWEEN 2009-01-01 AND 2009-03-01) AND type='error' AND system='windows' :) How would you load that from a text file?
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      1. USTomáš Fejfar
 

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