PostgreSQL is an open source, object-relational database built for extensibility, data integrity, and speed. Its concurrency support makes it fully ACID-compliant, and it supports dynamic loading and catalog-driven operations to let users customize its data types, functions, and more.
Automatic updates. You can select a weekly date and time during which the database checks and applies updates to its operating system and engine to keep the service stable and secure.
Daily point-in-time backups. Full cluster backups are taken daily and write-ahead-logs are maintained to allow you to restore to any point-in-time within the previous seven days.
High availability with automated failover. In the event of a failure, managed databases with a standby node will automatically switch data handling to the standby node to prevent unplanned downtime. Learn more about high availability for managed databases.
End-to-end security. Encrypts data at rest with LUKS and in transit with SSL.
Cluster metrics and alerting. Cluster metrics visualizations help you monitor the performance of the nodes in a database cluster, like resource usage, to guide capacity planning and optimization. Alert policies notify you when a metric rises above or falls below a threshold you set, like high CPU or low memory.
Read-only nodes. You can add read-only nodes in geographically disparate datacenters.
Database metrics and query insights. PostgreSQL-specific performance metrics help you assess the health of the database, pinpoint performance bottlenecks, and identify unusual use patterns that may indicate an application bug or security breach.
PostgreSQL database metrics include number of database connections, cache hit ratio, deadlock creation rate, and fetch, insert, delete, and update throughput.