Databases
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    <p>You can build this kind of application in an RDBMS or in a NoSQL database (<a href="http://bit.ly/gYaDfo" rel="nofollow">Berkeley DB</a> for example, has both a key-value pair API and a SQL API). The key-value pair API is a nice option, since it supports some pretty low level optimizations that may help when looking at how to tune the performance to meet your application needs. </p> <p>Another option is to look into a columnar data store, but even that kind of product is going to have to retrieve data from multiple columns (which is slow in these kinds of databases) in order to resolve the kinds of queries that you list. </p> <p>Ultimately the issue here boils down to disk I/O VS cache and data organization. The more data that you can fit into memory, the less I/O you have to perform and I/O is going to be the performance killer. The more compact you can make the data, the more rows will fit in the memory that you have. I would suggest looking into Berkeley DB, especially the key-value pair API. You can then choose to create one or more tables with the properties organized in an manner that optimizes the most frequent kinds of access. Additionally, if you're using the key-value pair API, take a look at the Bulk Get functions -- this allows you to fetch and process whole groups of records at a time. </p> <p>You may also want to create and maintain some "well known" statistical results (in memory and/or persisted on disk) that allow you to take "shortcuts" when the user is asking for a value that has already been computed. </p> <p>Good luck in your research. </p>
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    1. POWhat database is most efficient for simple group by queries on tons of data?
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