MongoDB Atlas Online Archive for Data Tiering is now Generally Available`, announced by MongoDB, allows users to tier data across "hot" database storage layer and "colder" cloud object stores while maintaining queryability while optimizing on cost and performance. This feature reduces storage costs, automates data tiering, provides a unified connection string for querying both live and archival data, and enables the management of entire data lifecycle on MongoDB Atlas without replicating or migrating it across multiple systems. Online Archive is suitable for various use cases such as high volume time-series workloads, data archival for auditing purposes, historical log keeping, and storing valuable data that would have otherwise been deleted using TTL indexes. The feature requires no ongoing maintenance once set up and allows users to bring new use cases to MongoDB Atlas that were previously cost-prohibitive.