Amazon Redshift costs under a tenth of the majority of traditional data warehousing solutions and is optimized for datasets that range from a couple of hundred gigabytes to petabytes. You can set up a small system and try it, and then resize larger for production.

Just like using Postgresql

Redshift utilizes precisely the same syntax as PostgreSQL. It can search through vast amounts of data and provide complex analytic results in shockingly short query times. Redshift offers you a choice to use Dense Compute nodes that are SSD based.


Redshift offers you a choice to use Dense Compute nodes that are SSD based and all handled by the provider. As with the majority of AWS services, you cover the services which you apply.

Ability to rebalance

In the event you do want to balance the data, there’s a rebalancing utility available. You’re able to collaborate employing precisely the same data across multiple Redshift clusters.


It is smoking fast. Analytical queries are usually run on multiple rows of information within the same column, instead of OLTP queries, which tend to process data row-by-row. Performing a high number of updates leads to performance degradation with time, until a VACUUM operation is manually triggered just like PG. To remain optimal, you want to continually revisit your cluster setup and tweak the quantity and sort of nodes. Redshift does not provide any customized function or array support. It is among the most cost-effective solutions readily available and allows for integration with many favorite BI tools.