 <td class="c4">(1.39x baseline)</td></tr>
</table>

<p>As expected, the read performance of all of the databases increases
when the caches are enlarged.  In particular, TreeDB seems to make
very effective use of a cache that is large enough to hold the entire
database.</p>

<h3>B. No Compression Reads </h3>
<p>For this benchmark, we populated a database with 1 million entries consisting of 16 byte keys and 100 byte values. We compiled LevelDB and Kyoto Cabinet without compression support, so results that a