Modern applications are built on real-time, intelligent, and increasingly powered by AI agents that need fast, reliable access to operational data—without sacrificing governance, scale, or simplicity.
To solve for this, Azure Databricks Lakebase introduces a serverless, Postgres database architecture that separates compute from storage and integrates natively with the Databricks Data Intelligence Platform on Azure. Lakebase is now generally available in Azure Databricks enabling you and your team to start building and validating real-time and AI-driven applications directly on your lakehouse foundation.
Why Azure Databricks Lakebase?
Lakebase was created for modern workloads and reduce silos. By decoupling compute from storage, Lakebase treats infrastructure as an on-demand service—scaling automatically with workload needs and scaling to zero when idle.
Key capabilities include:
- Serverless Postgres for Production Workloads: Lakebase delivers a managed Postgres experience with predictable performance and built-in reliability features suitable for production applications, while abstracting away infrastructure management.
- Instant Branching and Point-in-Time Recovery: Teams can create zero-copy branches of production data in seconds for testing, debugging, or experimentation, and restore databases to precise points in time to recover from errors or incidents.
- Unified Governance with Unity Catalog: Operational data in Lakebase can be governed using the same Unity Catalog policies that secure analytics and AI workloads, enabling consistent access control, auditing, and compliance across the platform.
- Built for AI and Real-Time Applications: Lakebase is designed to support AI-native patterns such as real-time feature serving, agent memory, and low-latency application state—while keeping data directly connected to the lakehouse for analytics and learning workflows.
- Lakebase allows applications to operate directly on governed, lake-backed data—reducing complexity with pipeline synchronization or duplicating storage
On Azure Databricks, this unlocks new scenarios such as:
- Real-time applications built on lakehouse data
- AI agents with persistent, governed memory
- Faster release cycles with safe, isolated database branches
- Simplified architectures with fewer moving parts
All while using familiar Postgres interfaces and tools.
Get Started with Azure Databricks Lakebase
Lakebase is integrated into the Azure Databricks experience and can be provisioned directly within Azure Databricks workspaces. For Azure Databricks customers building intelligent, real-time applications, it offers a new foundation—one designed for the pace and complexity of modern data-driven systems. We’re excited to see what you build, get started today!
Microsoft