topic Re: Serverless Compute Spark Version Flexibility? in Data Engineering

Serverless Compute Spark Version Flexibility?

ChristianRRL — Wed, 14 Jan 2026 16:59:03 GMT

Hi there, I'm wondering what determines the Serverless Compute spark version? Is it based on the current DBR LTS? And is there a way to modify the spark version for serverless compute?

For example, when I check the spark version for our serverless compute, I see that it matches the current DBR 17.3 LTS.

Re: Serverless Compute Spark Version Flexibility?

szymon_dybczak — Wed, 14 Jan 2026 17:10:34 GMT

Hi @ChristianRRL ,

The answer is simple 🙂 Serverless compute always run on the latest runtime version. You cannot choose it like in standard compute.

Connect to serverless compute | Databricks on AWS

In Serverless compute you can only choose different environment (i.e each environment version includes a specific Python version and a set of Python packages with defined versions.)

Serverless environment versions - Azure Databricks | Microsoft Learn

Re: Serverless Compute Spark Version Flexibility?

Databricks77 — Wed, 14 Jan 2026 17:56:05 GMT

Serverless compute always run on the latest runtime version. You cannot choose it like in standard compute.