Efficient storage in PostgreSQL can be achieved by understanding data type alignment and padding bytes. By organizing columns in a specific order, one can minimize space waste while maintaining or even enhancing performance during data retrieval.

GKE Data Cache is now generally available, enhancing Google Kubernetes Engine's performance for stateful and stateless applications by utilizing high-speed local SSDs as a caching layer for persistent disks. This solution provides significant improvements in read latency and throughput, making it easier to manage data access while potentially lowering costs. Users can configure caching for their workloads with straightforward setup instructions and options for data consistency.

Selecting the right storage option in PostgreSQL can significantly affect performance and data management. This article explores various storage methods, including heap and columnar storage, CSV, and Parquet files, highlighting their advantages and use cases for efficient data archiving and retrieval.