Delta Lake Blogs

Delta 4.2.0 Released

The Delta Kernel continues to drive the future of Delta Lake. With the 4.2 release, we've further eliminated engine inconsistencies and feature fragmentation by embedding the kernel where it matters most - right in the heart of our engine connectors. The kernel ensures strict transactional consistency and peak performance regardless of which engine reads or writes your data. Along that line, this release includes a brand new experimental Apache Flink connector built on the Delta Kernel aimed at providing expanded support for catalog-managed tables. This new connector supports reading and writing catalog-managed tables via Flink SQL...

Delta Lake 4.1.0 Released

By Zheng Hu , Scott Haines

We’re excited to announce the release of Delta Lake 4.1.0. This release introduces significant new features, performance improvements, and critical platform upgrades, including full support for Apache Spark 4.1.0 and enhanced storage management in Unity Catalog.

The next evolution of Delta - Catalog-Managed Tables

By Benjamin Mathew , Scott Sandre , Scott Haines

This article explains how to enable catalog-managed commits, a Delta table feature that shifts transaction coordination from the filesystem to Unity Catalog, making the catalog the single source of truth for table state.

Delta Lake 4.0.1 Release

By Robert Pack , Timothy Wang

We're excited to announce the release of Delta Lake 4.0.1. This release brings important bug fixes and improvements to Delta Lake 4.0, with a focus on Unity Catalog integration, authentication, and compatibility.

Delta Lake 4.0

By Carly Akerly , Robert Pack

We’re thrilled to announce the release of Delta Lake 4.0, a milestone release packed with powerful new features, performance optimizations, and foundational enhancements for the future of open data lakehouses. With new catalog integration, enhanced support for semi-structured data, smarter change tracking, and improved performance, this release delivers practical solutions to everyday data challenges.