Impact of Columnar Storage Optimizations in Redshift and BigQuery
Author(s):
Rameshbabu Lakshmanasamy
With the data explosion, companies are utilizing "new age" data warehouses, such as Amazon Redshift and Google BigQuery, to process this information. Space-efficient storage structures (specifically column-oriented storage formats) are the path to improved query performance and lower costs. Columnar storage stores the data sorted by columns and not rows so that only the columns being queried are accessed when a query is made. Fewer disk reads mean faster execution time, and that's good for analytical processing.
