Struggling to choose between Amazon Aurora and Oracle Database? 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, Oracle Database is a Business & Commerce product tagged with relational, multimodel, json, xml, document, keyvalue, graph.
Its standout features include Relational database management system, Support for JSON, XML, and other data types, Advanced security features, High availability and scalability, Automated management and tuning, Cloud integration, In-memory database option, and it shines with pros like Industry-leading performance and scalability, Comprehensive built-in security, Support for many data types and models, Mature product with many advanced features, Wide third-party ecosystem and 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.
Amazon Aurora is a fully managed relational database service created by Amazon Web Services (AWS). It offers the performance and availability of traditional enterprise databases at a lower cost.
Oracle Database is a proprietary relational database management system developed and marketed by Oracle Corporation. It is a multi-model database management system, supporting relational, JSON, XML, document, key-value, and graph databases.