TimescaleDB 2.3 introduces several improvements to its native compression capabilities, enabling users to insert data directly into compressed hypertables and automate compression policies on distributed hypertables. This allows for more efficient storage and analysis of time-series data, as well as a seamless developer experience. With these new features, users can enjoy the benefits of PostgreSQL with superpowers for time-series data, without worrying about managing complexity at scale. The improvements include direct inserts into compressed chunks, automated compression policies on distributed hypertables, and enhanced performance and efficiency. These updates aim to provide a better user experience and support the growing needs of time-series data management.