Why might a columnar database provide better compression compared to a traditional RDBMS?
- It is specifically designed for small datasets
- It relies on fixed-length data storage
- It stores data in columns, allowing for more repetitive values
- It uses advanced data compression algorithms
Columnar databases are optimized for analytical workloads, and they store data in columns rather than rows. This allows for better compression because columns often contain more repetitive or identical values, which can be compressed more efficiently.
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