MongoDB has announced new time series capabilities coming in MongoDB 6.0, including support for secondary indexes on measurements, read performance improvements for sort operations, and densification and gap-filling features to handle missing data points. These enhancements aim to make it easier for developers to manage and analyze time series data with greater ease, speed, and lower cost than ever before. The new capabilities are part of a steady drumbeat of new time series features added since MongoDB 5.0, which have empowered developers to build best-in-class applications using time series data on MongoDB. With the release of MongoDB 6.0, customers will be able to create secondary or compound indexes on any field in a time series collection, enabling geo-indexing and improved read performance. The new features are designed to address common challenges associated with working with time series data, such as data volume and continuity, and will continue to empower developers to build innovative applications using time series data on MongoDB.