PostgreSQL vs Amazon Aurora

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

PostgreSQL is a Development solution with tags like open-source, objectrelational, reliable, performant, sql-compliant.

It boasts features such as 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 pros including Robust feature set, High performance, Reliable, Free and open source, Cross platform, Strong community support.

On the other hand, Amazon Aurora is a Development product tagged with cloud, database, aws, relational-database, fully-managed.

Its standout features include 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 it shines with pros like High performance, High availability, Cost efficient, Easy to manage, Scalable storage, Compatible with MySQL and PostgreSQL.

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.