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    <p>Here is some cases which can affect your test. </p> <p>In general Mongo is better for that test. Look at <strong>mongo</strong> <a href="http://docs.mongodb.org/manual/faq/concurrency/" rel="nofollow">concurrency</a> specification. </p> <blockquote> <p>MongoDB uses a readers-writer <a href="http://docs.mongodb.org/manual/faq/concurrency/" rel="nofollow">1</a> lock that allows concurrent reads access to a database but gives exclusive access to a single write operation. </p> <p>When a read lock exists, many read operations may use this lock. However, when a write lock exists, a single write operation holds the lock exclusively, and no other read or write operations may share the lock.</p> <p>Locks are “writer greedy,” which means writes have preference over reads. When both a read and write are waiting for a lock, MongoDB grants the lock to the write.</p> </blockquote> <p>And <strong>redis</strong> concept is</p> <blockquote> <p>The fact that Redis operations are atomic is simply a consequence of the single-threaded event loop. The interesting point is atomicity is provided at no extra cost (it does not require synchronization). It can be exploited by the user to implement optimistic locking and other patterns without paying for the synchronization overhead.</p> </blockquote> <p>p.s. Another thing in redis is <a href="http://redis.io/topics/persistence" rel="nofollow">snapshoting</a> settings if you are using RDB as persistence storage type. This strategy means that you save db to disk each N seconds or if Y keys was changed. For example each 10 seconds or each 1000 keys.</p>
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    1. POC# redis vs mongodb performance
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    1. COJust for testing purpose disabled saving on disk. It didn't improve performance since shapshoting is executed on child process.
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    2. COAs I said above - it's not the deciding factor. The main thing - mongo allows you to read data without blocking. I can make some improvement for redis - execute commands in MULTI block.
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