Cross-industry technology and function-specific partner solutions developed by Databricks consulting and SI partners using Databricks Lakebase
by Amit Singh
Databricks Lakebase is a fully managed, serverless Postgres database built for the agentic era. For years, teams have paid an architectural tax, running separate operational and analytical systems and connecting them with brittle ETL pipelines. Lakebase closes that gap. It is 100% standard Postgres, built into the Databricks Platform alongside the lakehouse and Unity Catalog, and it separates compute from storage to deliver serverless economics. Today, native integration through Synced Tables and Lakebase CDF moves data between the lakehouse and Lakebase automatically, with no pipelines to build. This is the first step toward our longer-term vision of Lake Transactional Analytical Processing (LTAP): transactional and analytical workloads running together on one platform, under one governance model, so applications, models, and agents can read and write operational data without standing up a separate serving stack.
Engineered to eliminate infrastructure friction, Lakebase introduces ground-breaking primitives like copy-on-write database branching. Developers and autonomous AI agents can instantly spin up isolated, zero-storage production clones in seconds for risk-free testing, alongside intelligent autoscaling that dynamically scales compute to zero when idle. Governed natively through Unity Catalog, Lakebase unifies enterprise security and auditability across your entire data estate. To help organizations realize this value immediately, our global consulting and SI partner ecosystem has built a powerful set of cross-industry and function-specific solutions. This blog highlights these ready-to-deploy offerings, designed to accelerate enterprise data modernization, MLOps, and agentic AI transformation at unprecedented speed.
