This offloads the administrative burden from the users, allowing them to focus on application development. Managed Services: Amazon Aurora is a managed database service provided by AWS, which means that AWS handles tasks such as software patching, backups, and database maintenance.
#Aurora postgresql pricing manual
Conversely, PostgreSQL can scale vertically with more server resources but requires manual configuration for horizontal scaling. Additional features like read replicas and multi-master capability enhance scalability and availability. Its shared storage architecture, automatic scaling, and replication capabilities enable efficient handling of high workloads and fast read/write performance. Scalability and Performance: Amazon Aurora surpasses PostgreSQL in scalability and performance.
PostgreSQL, on the other hand, is a traditional open-source database management system that follows a monolithic architecture where computing and storage are tightly coupled. It is designed for high-performance and scalability, utilizing a distributed storage architecture that separates compute and storage layers. Here are the key differences between Amazon Aurora and PostgreSQL:Īrchitecture: Amazon Aurora is a cloud-native database engine developed by Amazon Web Services (AWS) that is compatible with PostgreSQL. Amazon Aurora vs PostgreSQL: What are the differences?Īmazon Aurora and PostgreSQL are relational database management systems that are different in terms of their architecture, scalability, performance, and managed services.
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