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A New Era of Databases: Lakebase

Rishabh_Tiwari
Community Manager
Community Manager

Databases have powered software for decades, but their underlying architecture hasn’t kept pace with modern application needs—especially in the era of AI and rapid development.

Lakebase introduces a new approach by separating compute from storage and placing data directly in open, low-cost cloud storage. This removes many of the traditional limitations around scaling, cost, and operational complexity.

It enables elastic, serverless compute, instant environment creation, and faster experimentation—allowing developers and AI systems to move without infrastructure constraints.

By bringing transactional and analytical workloads closer together, it also becomes easier to build real-time, data-driven applications without moving or duplicating data.

Want the full breakdown, architecture deep dive, and real-world context?

Read the full blog→
3 REPLIES 3

rdokala
New Contributor II

What is your point of view on Provisioned instances Vs Autoscaling instances.

Lake base Autoscaling instances are the way forward as they are cost efficient with predictable costs, optimized for performance with simplified operations. Autoscaling automatically adjusts resources based on workload demands. Scale to Zero is an excellent feature reducing idle compute spend. Granular Cost-efficient scaling is possible in Autoscaling mode with native support for Branching, Cloning & Point Restores. Provisioned is considered legacy while Autoscaling is the new standard.

balajij8
Contributor III

There is a mandatory shift to Autoscaling part of the Lakebase evolution. More details here