Amazon RDS for Aurora vs PostgreSQL: What are the differences?
Developers describe Amazon RDS for Aurora as "MySQL and PostgreSQL compatible relational database with several times better performance". Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability. On the other hand, PostgreSQL is detailed as "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 RDS for Aurora can be classified as a tool in the "SQL Database as a Service" category, while PostgreSQL is grouped under "Databases".
"MySQL compatibility " is the top reason why over 11 developers like Amazon RDS for Aurora, while over 744 developers mention "Relational database" as the leading cause for choosing PostgreSQL.
PostgreSQL is an open source tool with 5.38K GitHub stars and 1.79K GitHub forks. Here's a link to PostgreSQL's open source repository on GitHub.
According to the StackShare community, PostgreSQL has a broader approval, being mentioned in 2701 company stacks & 2097 developers stacks; compared to Amazon RDS for Aurora, which is listed in 116 company stacks and 30 developer stacks.
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