Couchbase has introduced a new time series feature in its 7.2 release, leveraging its scalable and high-availability database architecture to efficiently manage and analyze vast amounts of time series data. This feature allows users to store time series data as JSON documents, optimizing storage and retrieval with Couchbase SQL++ and SDKs, while providing advanced time series query capabilities. Designed for various applications such as financial trading, IoT monitoring, and predictive maintenance, Couchbase's approach improves storage efficiency by using arrays for data points and employing Epoch time to reduce data size. The new _timeseries function enhances query performance by dynamically generating time series objects and optimizing response time. Additionally, Couchbase's indexing strategy reduces document numbers and index sizes, boosting database performance and storage efficiency. Users can transform and query data using SQL++ and implement data ingestion strategies to manage JSON documents effectively, ensuring robust data handling and analytical capabilities for businesses of all sizes.