Foundational context: Cross-industry & function-specific accelerators for Lakebase

Foundational context: Cross-industry & function-specific accelerators for Lakebase | Databricks Blog Skip to main content

Summary

Automated Database Migration & Modernization: Partners with specialized accelerators that automate the risk assessment, schema conversion, and code migration from legacy systems like Oracle, Informatica, and SQL Server, using Lakebase database branching to safely rehearse cut-overs.

Stateful Memory for Agentic AI: A vast array of SI solutions that leverage Lakebase as a high-velocity, low-latency ‘working memory’ layer, enabling autonomous AI agents to maintain multi-session context, track workflow states, and safely execute real-time operational writes.

Ready-to-Deploy Functional Applications: Industry-specific accelerators across Finance, Marketing, Sales, and Supply Chain translate Lakebase's capabilities into immediate business value.

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. This blog showcases innovative partner solutions built on Databricks Lakebase across the following categories: Technology Solutions Finance Marketing Sales Supply Chain Human Resources Customer Service Operations / Project Management

Technology Solutions Advancing Analytics Advancing Analytics’  Lakebase Wizard helps organizations move existing PostgreSQL workloads into Databricks Lakebase with confidence, not guesswork. The accelerator assesses a source Postgres database, highlights compatibility risks, and guides teams through a structured migration covering discovery, decision, rehearsal, cut-over and validation. It identifies issues such as unsupported extensions, session-state dependencies, authentication changes and platform quotas before they become delivery problems. Using Lakebase branching, teams rehearse migrations safely, validate outcomes and reduce cut-over risk. The result is a practical, repeatable path from legacy operational databases to lakehouse-native Postgres on Databricks, governed through Unity Catalog. Watch this  video and read this  blog to learn more. Aimpoint Digital AgentOps : Genie spaces are intended to be highly specific, built with a single data domain or specialty to ensure high accuracy, but what happens if you need to blend data from multiple Genie spaces? Aimpoint Digital’s  multi-agent Genie system , powered by their Brickbuilder Accelerator AgentOps provides deep observability and a robust deployment framework. Gain access to insights through a single chat interface backed by Lakebase for long term chat history, with a powerful custom supervisor agent capable of reasoning across multiple Genie spaces. Integrate with your business users via apps, slack, teams or wherever business decisions are made. Maintain focused Genie spaces while unlocking its true potential through a single customizable interface driving real, long-term adoption. Read this  blog to learn more. Avanade Data to Impact: AI-Powered Innovation with Genie & Lakebase  - Avanade helps organizations realize the full value of Databricks Lakebase by designing and delivering unified, AI-ready data platforms that combine operational and analytical workloads. In a recent engagement with a leading UK fashion retailer, Avanade implemented an agent-based AI solution built on Databricks Apps, Lakehouse, and Lakebase to modernize fit room processes. By unifying real-time transactional and analytical data, the solution eliminated manual rework, reduced resource demands, and accelerated supplier collaboration. With governance through Unity Catalog, the client gained trusted, real-time insights—enabling faster decisions, improved efficiency, and a scalable foundation for AI-driven product development and continuous innovation. Read this  blog to learn more. Blueprint Informatica Data Migration: Data engineering teams modernizing from legacy Extract-Transform-Load (ETL) platforms can now run their Informatica-to-Databricks migrations through a governed, end-to-end workbench. Built on Databricks Lakebase and Unity Catalog, Blueprint's Data Migration Accelerator pairs a six-stage migration workflow (assess, design, migrate, integrate, validate, transition) with Lakebase-served prioritization scores and an agentic conversion flow powered by Agent Bricks. Migration leads, conversion engineers, and validation specialists collaborate inside one Databricks App, with every workflow's state, complexity score, and User Acceptance Testing (UAT) outcome traced back to its underlying Informatica source. Enterprise data teams shift from spreadsheet tracking to a governed, evidence-bearing modernization control plane. Capgemini Agentic-ready AI and Data Platform: Capgemini’s ‘Agentic-ready AI and data platform’ accelerates development of custom apps, advanced AI agents and low-latency data products...