MongoDB is introducing five new analytics features to help businesses modernize their analytics and automate decision-making. These features include Column Store indexes, which enhance analytical queries by allowing real-time analytics on live data; MongoDB Atlas Data Federation, which enables users to query multiple data sources at once; the relaunch of Atlas Data Lake as a cost-effective data store optimized for high-performance analytics on large volumes of data; an improved SQL interface that allows users to easily interact with Atlas data via BI tools or SQL drivers; and distinct tiering for analytics nodes, which enables users to provision only what they need without impacting the entire cluster. These features aim to automate decision-making and drastically decrease the time it takes to get application insights in front of users.