MongoDB Atlas Online Archive: Deep Dive

PublishedJune 10, 2020

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 an Atlas Data Lake, with Atlas automatically migrating cold data to the cost-effective object storage of Data Lake where it can still be queried on-demand.