Microsoft Fabric continues to move at pace. The latest updates focus on real time data, developer productivity, and faster performance. Pricing and licensing stay the same, which matters when you plan capacity and budgets.
The biggest shift sits around Real Time Intelligence. Fabric is tightening how streaming data flows through the platform. Ingestion, transformation, storage, and visualisation now sit together in the Real Time hub. You work with live event data in one place. Built in analytics and no code connectors reduce setup time and operational overhead.
SAP integration also moves forward. Fabric introduces stronger connectivity and data mirroring options, including preview support for SAP Datasphere copy and mirroring jobs. This brings operational SAP data closer to analytics teams without heavy custom engineering or duplicated pipelines.
Developer experience sees practical gains. Notebook authoring and debugging through Visual Studio Code now integrates more deeply with your Fabric workspace. You run Spark workloads remotely. You manage create, read, update, and delete operations in context. Teams ship changes faster and resolve issues earlier in the lifecycle.
On the platform side, Fabric Runtime 1.3 is now broadly available. Spark moves to version 3.5. Delta Lake moves to version 3.2. Support for the native execution engine delivers faster query and pipeline performance without code changes. Many workloads complete sooner and consume less compute as a result.
Table maintenance also improves. Fast OPTIMIZE for V Order reduces the time and transient compute needed to maintain large Delta tables. This improves performance consistency while helping you keep capacity usage under control.
There are no pricing or licensing changes. The F SKU capacity model remains in place. Reservation and pay as you go guidance stays the same. Pausing capacity and right sizing workloads remain the most effective ways to manage spend.
The message is clear. Microsoft Fabric is investing in real time data convergence, stronger tooling for developers, and runtime efficiency. You gain performance and productivity without revisiting your cost model.
If you want to understand what these changes mean for your environment, Braintree can help.
Our Azure and Microsoft Fabric specialists work with teams on capacity planning, real time analytics, data integration, and cost control. We help you assess your current setup, identify practical improvements, and map a clear path forward based on your workloads and business priorities.
To speak to a Braintree Azure Fabric specialist or to schedule a focused working session, contact us through the Braintree website. We will set up a discussion around your data platform, performance goals, and budget.
