YugabyteDB's YEDIS API offers a native time series (TS) data type that simplifies modeling and retrieving time series data with high performance. The TS data type uses a sorted map from a 64-bit integer to a single object, making it easy to model time series data by using the timestamp as an integer and the value as the associated measurement. This approach supports adding new data points efficiently through the TSADD operation, looking up values for specific timestamps with the TSGET command, retrieving data within a range of timestamps with TSRANGEBYTIME, and deleting entries with the TSREM command. Additionally, the TS data type allows setting a TTL (time-to-live) for each timestamp using the EXPIRE_IN and EXPIRE_AT commands, enabling efficient purging of expired data. In contrast to traditional Redis approaches using Sorted Sets or plain key-values, YEDIS's TS data type addresses common issues such as memory and CPU consumption, read-modify-write operations, and synchronization complexities. By leveraging this native time series data type, developers can build scalable and performant applications that efficiently store and retrieve time-stamped data.