We've achieved 91%-96% compression in the latest version of TimescaleDB by deploying best-in-class algorithms for compressing various types of data, including Gorilla compression for floats, Delta-of-delta + Simple-8b with run-length encoding compression for timestamps and other integer-like types, whole-row dictionary compression for columns with a few repeating values, and LZ-based array compression for all other types. This new feature uses a novel method to create hybrid row/columnar storage, allowing us to combine the benefits of PostgreSQL's full SQL capabilities with the improved query performance of columnar databases. We've also implemented indexing and querying on compressed data, which leads to immediate performance improvements for many types of queries. The compression rates achieved are comparable to or even surpass those of custom-built NoSQL stores, without sacrificing any of our unique capabilities. Native compression is widely available in TimescaleDB 1.5 today, and we encourage users to try it out and provide feedback.