![]() It makes it easy to scale out beyond the capacity constraints of a single DB instance for read-heavy database workloads. ScalabilityĪmazon RDS read replicas help reduce the load on the primary DB instance by offloading your read workloads to the read replica DB instances. The following sections discuss some of the key components to compare Amazon RDS for PostgreSQL and Aurora PostgreSQL. The following diagram illustrates the differences between the Multi-AZ solutions for Amazon RDS for PostgreSQL and Aurora PostgreSQL. The combination of PostgreSQL compatibility with Aurora enterprise database capabilities provides an ideal target for commercial database migrations. Aurora improves upon PostgreSQL for massive throughput and highly concurrent workloads. The underlying storage grows automatically in chunks of 10 GiB, up to 128 TiB. They both offer provisioning various types of database instances, multiple PostgreSQL versions, managing backups, point-in-time recovery (PITR), replication, monitoring, Multi-AZ support, and Storage Auto Scaling.Īmazon RDS for PostgreSQL supports up to 64 TiB of storage and recent PostgreSQL versions.ĭB instances for Amazon RDS for PostgreSQL use Amazon Elastic Block Store (Amazon EBS) volumes for database and log storage.Īurora PostgreSQL uses a high-performance storage subsystem customized to take advantage of fast distributed storage. OverviewĪmazon RDS for PostgreSQL and Aurora PostgreSQL are fully managed open-source PostgreSQL database services. We analyze the differences in performance, scalability, failover, storage, high availability, backup, and database versions. In this post, we discuss how to determine the best option between Amazon RDS for PostgreSQL and Aurora PostgreSQL for your workloads and business requirements. Amazon Relational Database Service (Amazon RDS) supports two types of Postgres databases: Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL-Compatible Edition. If you’re planning to move your self-managed PostgreSQL database or refactoring your commercial databases to PostgreSQL on AWS, you have to decide which database service best suits your needs.
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