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5 New Analytics Features to Accelerate Insights and Automate Decision-Making

Blog post from MongoDB

Post Details
Company
Date Published
Author
Adam Hughes
Word Count
851
Language
English
Hacker News Points
-
Summary

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.