Amazon Aurora vs PostgreSQL

Struggling to choose between Amazon Aurora and PostgreSQL? Both products offer unique advantages, making it a tough decision.

Amazon Aurora is a Development solution with tags like cloud, database, aws, relational-database, fully-managed.

It boasts features such as Fully managed by AWS, Compatible with MySQL and PostgreSQL, Auto scaling storage, High availability, Fast performance, Serverless option available, Distributed and replicated architecture, Point-in-time recovery, Automated backups and pros including High performance, High availability, Cost efficient, Easy to manage, Scalable storage, Compatible with MySQL and PostgreSQL.

On the other hand, PostgreSQL is a Development product tagged with open-source, objectrelational, reliable, performant, sql-compliant.

Its standout features include Relational database management system (RDBMS), Open source with liberal license, SQL compliant and extensive SQL support, High performance and reliability, Fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, Multi-version concurrency control (MVCC) architecture, Asynchronous replication and failover, Table inheritance and table partitioning, Procedural languages support, and it shines with pros like Robust feature set, High performance, Reliable, Free and open source, Cross platform, Strong community support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.