We launched the first version of compression at the end of 2019 with TimescaleDB 1.5. This release laid down our foundational compression design: recognizing that time-series workloads access data in temporal order, we built an efficient columnar storage system by converting many wide rows of data (1,000) into a single row of data, compressing each field (column) using dedicated algorithms.