u/arshadali-msft

This release brings major advancements across the platform, including Apache Spark 4.1, Delta Lake 4.2, Python 3.13, Scala 2.13, Java 21 and a significantly enhanced Native Execution Engine (NEE) to help customers unlock better performance, reliability, and innovation at scale.

This milestone is the result of months of collaboration across engineering, product, support, and partner teams, all focused on delivering a stronger foundation for data engineering, data science, and analytics workloads in Microsoft Fabric.

A huge thank you to everyone who contributed to making this launch possible. Looking forward to seeing what our customers and the broader data community build with Runtime 2.0 now that is ready for production usage!

Learn more about Runtime 2.0 GA:
🔹Blog: Fabric Runtime 2.0 (Generally Available) | Microsoft Fabric Community
🔹Official Documentation: Runtime 2.0 in Fabric - Microsoft Fabric | Microsoft Learn

Excited to announce the availability of Fabric Runtime Release Channels in Microsoft Fabric!

One of the most common pieces of feedback we've heard from customers is that Spark runtime updates - while important for security, reliability, and new capabilities - can sometimes introduce concerns about unexpected changes reaching production workloads.

To address this, we are introducing Fabric Runtime Release Channels, giving customers greater control and predictability over how runtime updates are adopted in their environments.

With Release Channels, every Fabric Runtime now provides:
🔹Default Channel – the production runtime used by all customers by default.
🔹Early Access Channel – a production-grade preview of upcoming runtime updates, allowing customers to validate workloads before changes become the default experience.

This enables customers and organizations to:
🔹Validate Spark runtime changes early in advance before they reach their production environments.
🔹Reduce upgrade risk and avoid surprises.
🔹Gain visibility into upcoming library, its versions, dependency, security, and OS updates.
🔹Provide feedback earlier in the release cycle, helping improve overall quality and reliability.

The feature is simple to adopt, fully reversible, and designed to make runtime upgrades more predictable and transparent for every Fabric customer.

This capability represents months of collaboration across multiple teams with a single goal: giving customers more control and confidence over their Spark runtime experience. A huge thanks to these incredible teams that helped make this release possible.

Learn more about Fabric Runtime Release Channels:
🔹Blog: Fabric Runtime Release Channels - Microsoft Fabric Community
🔹Official Documentation: Fabric runtime release channels - Microsoft Fabric | Microsoft Learn