Amazon Aurora vs Microsoft SQL Server

Struggling to choose between Amazon Aurora and Microsoft SQL Server? 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, Microsoft SQL Server is a Business & Commerce product tagged with database, relational-database, sql, data-warehousing, analytics, machine-learning.

Its standout features include Relational database management system, Transaction processing, Data warehousing, Analytics, Machine learning, High availability, Disaster recovery, Security, Scalability, and it shines with pros like Wide platform and OS support (Windows, Linux, containers), Mature and feature-rich, Strong performance and scalability, Built-in high availability and disaster recovery, Powerful analytics and machine learning capabilities, Integrates well with other Microsoft products and Azure cloud.

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.