The TimescaleDB extension for PostgreSQL enables high-performance columnar compression for time-series data, allowing developers to store large volumes of data without incurring exorbitant storage costs and ensuring query performance remains optimal. The original method had limitations, including immutability restrictions on DML operations such as INSERTS, UPDATES, and DELETES. To address this, TimescaleDB introduced a flexible compression engine that allows for seamless modification of compressed data, enabling efficient insertion, update, and deletion of time-series data without manual decompression and recompression. This approach breaks the traditional trade-off between storage costs and query performance, making it possible to store time-series data in OLTP databases while maintaining fast query performance and reducing storage costs. With TimescaleDB 2.11, developers can now easily backfill historical data into compressed datasets, correct errors, or migrate large volumes of data without significant technical complexities, paving the way for more efficient, flexible, and fair time-series data management in PostgreSQL.