![]() You can also configure compression 4 for your columns, or perform table maintenance tasks like vacuum 4 and analyze 2. Redshift comes with a bunch of configurations to optimize query performance like sort keys 3 and dist keys. This coupling of “storage” and “compute” is one of the main drawbacks of Redshift compared to the other databases listed below This is sort of a problem though: sometimes you need a lot of storage space, but you don’t need the extra processing power. ![]() If you check out the Redshift pricing page 11 you’ll see that adding a node will give you more processing power, as well as more storage. As a result, you can horizontally scale performance by adding nodes to yourĬluster. These nodes are able to split up a query, execute its constituent parts in parallel, then combine the results. Customers include well-known brands such as McDonald’s, Pfizer, and Lyft.Ī Redshift database is a cluster of worker database nodes. More than 10,000 companies use Redshift, according to HG Insights. RedShift can still roll-back on transactions, which is a semi-unique feature in the data warehouse market. The important thing to note about RedShift being built on top of a PostgreSQL fork is that it maintains some of its transactional qualities - making it a hybrid database of sorts. Amazon also has a unique query execution engine for RedShift that differs from PostgreSQL. It doesn’t support indexes, and uses distribution styles and keys for data organization. While RedShift shares many commonalities with PostgreSQL (such as its relational qualities), it also is unique in that it’s column structure. So, RedShift is an MPP data warehouse that’s built on a PostgreSQL fork. RedShift is Amazon’s data warehouse, and it’s part of Amazon’s massive overall cloud architecture, AWS.Īmazon acquired the source code for RedShift from ParAccel, who was developing ParAccel Analytic Database - a PostgreSQL-based database that utilized columnar data organization.
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