Summary of Wide-Column Databases

Some of wide-column databases advantages and disadvantages.

Compared to row-oriented databases, wide columnar stores show the following advantages:

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• A better data compression: this is because, wide-column databases stores the repeated column values as a single column value and stores columns in the most used format.

• An enhanced use of bandwidth and cache: unlike relational databases, wide-column databases only read the required data from the disk. So, no extra data or columns are read. In addition, only the required data is put in the cache locality.

• A better code pipelining: wide-column databases consume the CPU cycle performance only for the required data attributes.

However, wide columnar stores show the following weaknesses when compared to row-oriented databases:

• A bigger disk seek time: This is because large number of columns is read in parallel.

• An increased time for small inserts: in fact, wide-column databases need to update multiple values in multiple columns.

• An expanded time for tuple reconstructions: wide-column databases translate value position information into disk locations to reconstruct tuples. However, because they were not designed to reconstruct rows from multiple columns, this may compromise their advantages.

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