Amazon Redshift vs PostgreSQL: What are the differences?
What is Amazon Redshift? Fast, fully managed, petabyte-scale data warehouse service. Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
What is PostgreSQL? A powerful, open source object-relational database system. PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
Amazon Redshift can be classified as a tool in the "Big Data as a Service" category, while PostgreSQL is grouped under "Databases".
"Data Warehousing" is the top reason why over 27 developers like Amazon Redshift, while over 744 developers mention "Relational database" as the leading cause for choosing PostgreSQL.
PostgreSQL is an open source tool with 5.44K GitHub stars and 1.8K GitHub forks. Here's a link to PostgreSQL's open source repository on GitHub.
Uber Technologies, Spotify, and Netflix are some of the popular companies that use PostgreSQL, whereas Amazon Redshift is used by Lyft, Coursera, and 9GAG. PostgreSQL has a broader approval, being mentioned in 2741 company stacks & 2176 developers stacks; compared to Amazon Redshift, which is listed in 270 company stacks and 68 developer stacks.
Sign up to add or upvote prosMake informed product decisions
Sign up to add or upvote consMake informed product decisions
What is Amazon Redshift?
What is PostgreSQL?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions