Many MongoDB use cases benefit from being able to access recent data efficiently, while also retaining historical data in a cost-efficient manner: a trading platform, for example, should be able to quickly query recent trades, while also retaining an authoritative history of transactions spanning several years.
Auto-Archiving in MongoDB Atlas provides an efficient solution for these use cases by enabling customers to seamlessly tier data between a MongoDB Atlas cluster and a MongoDB Atlas Data Lake, with MongoDB Atlas automatically migrating cold data to the cost-effective object storage of MongoDB Atlas Data Lake where it can still be queried on-demand.
