Databricks introduces Agent Bricks, an enterprise agent platform for building, deploying, and governing AI agents that operate on business data in production.

Product

Databricks

51 min read

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.

Database Branching in Postgres: Git-Style Workflows with Databricks Lakebase

This post introduces database branching in Databricks Lakebase Postgres as a copy-on-write primitive that enables Git-like isolated database environments for development workflows.

Product

Databricks

81 min read

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.

Data Engineering•2026-04-02

Accelerate business insights with Lakeflow Connect, now with a Free Tier

Databricks introduces a Free Tier for Lakeflow Connect, its built-in data ingestion service for unifying enterprise data across SaaS apps and databases.

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.

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.

Powering product discovery in ChatGPT

ChatGPT introduces a new shopping experience powered by the Agentic Commerce Protocol for enhanced product discovery.

Product

Databricks

31 min read

Data Engineering•2026-03-18

How to move from Apache Airflow® to Databricks Lakeflow Jobs

This post provides a practical migration guide for teams moving from Apache Airflow to Databricks Lakeflow Jobs as their native orchestrator.

Product

Databricks

81 min read

Data Engineering•2026-03-16

How Delta Sharing Supports ABAC Sharing for Providers and Recipients

Delta Sharing now supports Attribute-Based Access Control (ABAC), allowing providers to share governed tables directly without creating separate copies per recipient.

Ship quality enterprise AI agents to business users with Agent Bricks and Databricks Apps

This post walks through shipping enterprise-grade AI agents to business users using the Databricks Platform.

Data Engineering•2026-03-16

Develop and deploy Serverless JARs

Databricks introduces Serverless JARs, enabling teams to run Scala and Java Spark jobs on fully managed serverless compute with instant startup and no cluster management.

Why Codex Security Doesn’t Include a SAST Report

This post explains why Codex Security avoids traditional SAST (Static Application Security Testing) reports in favor of AI-driven approaches.

Product

Databricks

21 min read

Data Engineering•2026-03-12

The Evolution of Data Engineering: How Serverless Compute is Transforming Notebooks, Lakeflow Jobs, and Spark Declarative Pipelines

This article covers how Databricks serverless compute is transforming data engineering by removing infrastructure management burdens across Notebooks, Lakeflow Jobs, and Spark Declarative Pipelines.

Introducing Genie Code

Databricks introduces Genie Code, an AI agent built specifically for data teams to autonomously handle complex data workflows end-to-end.

Beyond Provisioning: The Developer’s Guide to Databricks Lakebase Autoscaling

This post introduces Databricks Lakebase Autoscaling as a solution to the classic database provisioning paradox of over- vs.

Platform

Product