Genie Code is an AI agent enabling data engineers to build production-ready pipelines and jobs using natural language, reducing weeks-long tasks to hours.

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Databricks

41 min read

AI•2026-04-26

The next generation of Databricks Genie

Databricks introduces the next generation of Genie, an AI-powered analytics platform that provides unified access to data and insights across enterprise systems.

Data Engineering•2026-04-23

Announcing the Public Preview of Lakeflow Designer

Lakeflow Designer is a visual, no-code, AI-native data preparation and analytics tool built natively on Databricks to democratize data work across organizations.

Background Coding Agents: Supercharging Downstream Consumer Dataset Migrations (Honk, Part 4)

Spotify automated the migration of 1,800+ data pipeline consumers using their background coding agent "Honk," saving 10 engineering weeks of manual effort.

Data Engineering•2026-04-22

Beyond the spreadsheet: how Databricks is delivering the modern CFO in Financial Services

Databricks enables CFOs to transition from operational stewards to strategic catalysts by eliminating data infrastructure barriers in financial services.

Introducing Genie Agent Mode

Genie Agent Mode is an agentic system that iteratively plans, explores, and reasons over data to answer complex business questions.

Databricks on Google Cloud: Innovate Faster. Smarter. Together.

Databricks partnership with Google Cloud enables enterprises to build production-ready agentic AI on governed data through native Gemini model integration.

AI Gateway: How to Connect Agents to External MCPs Securely

This article discusses managing models, MCPs (Model Context Protocol), and tools securely through AI Gateway and Databricks.

Expanding Agent Governance with Unity AI Gateway

Announcing major enhancements to AI Gateway with expanded Agent Governance capabilities.

Data Engineering•2026-04-14

Building Real-Time Product Search on Databricks

This blog explains how to build real-time product search systems using Databricks, covering the complete architecture from data ingestion to result ranking and refinement.

Data Engineering•2026-04-09

The Next Era of the Open Lakehouse: Apache Iceberg™ v3 in Public Preview on Databricks

Databricks releases Apache Iceberg v3 in Public Preview, introducing Row Lineage, Deletion Vectors, and VARIANT.

Architecture•2026-04-08

How FSIs eliminate silos between clients, operations, and finance

This article describes how Databricks eliminates organizational silos in financial services institutions by providing a unified data platform for collaboration across clients, operations, and finance teams.

Data Engineering•2026-04-08

Collaborative Analytics on Databricks

This post demonstrates how Databricks' unified Data Intelligence Platform enables cross-team collaboration in financial institutions through governed analytics and AI-powered workflows.

A multi-agent approach to audience intelligence

This post introduces an AI-powered audience segmentation solution built on Databricks that uses a multi-agent architecture to bridge the gap between advertising strategy and data execution.

How Addepar Scales Investment Workflows with Databricks AI Agents

This post explains how Addepar, a financial technology platform managing nearly $9 trillion in assets, built a scalable AI agent system called Addison using Databricks on AWS.

Data Engineering•2026-04-02

Announcing General Availability and Open Sourcing of Unity Catalog Business Semantics

Databricks announces the General Availability of Unity Catalog Business Semantics, an open and unified semantic layer for defining business metrics consistently across BI dashboards, developer workflows, and AI agents.

Architecture•2026-03-30

How agentic software development will change databases

This post examines how AI-driven agentic software development is transforming database requirements, using Databricks' Lakebase as a case study.

Data Engineering•2026-03-27

Protect Performance and Reduce Surprise Costs with Default Warehouse

Databricks SQL introduces Default Warehouse, a generally available feature allowing admins to control which SQL warehouse is automatically selected for ad hoc queries.

Zero-Downtime Patching in Lakebase Part 1: Prewarming

This post explains how Lakebase eliminates performance degradation during planned database maintenance using a prewarming technique.

Data Engineering•2026-03-25

Building an A/B testing analysis framework for mobile gaming on Databricks

This article describes how HARDlight built a Databricks-native A/B testing analysis framework to automate and standardize mobile game experimentation at scale.