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databricks Platform · Updated Sep 23, 2026

Scalar and Batch Unity Catalog Python UDFs are now generally available

Scalar and Batch Unity Catalog Python UDFs are now generally available on all supported compute types.

What it does

Scalar and Batch Unity Catalog Python UDFs are now generally available on all supported compute types. This release adds named handlers for row at a time scalar UDFs, removes the five UDF call per query limit, and aligns scalar TIMESTAMP inputs with PySpark behavior. You can also install custom dependencies and access Unity Catalog service credentials and secrets from your functions.

Why it matters

They let you define, use, and securely share and govern custom functions across computing environments.

Architecture
Databricks Platform → Platform
In short

Scalar and Batch Unity Catalog Python UDFs are now generally available on all supported compute types. This release adds named handlers for row at a time scalar UDFs, removes the five UDF call per query limit, and aligns scalar TIMESTAMP inputs with PySpark…

Read the full documentation ↗
Key takeaway
Scalar and Batch Unity Catalog Python UDFs are now generally available on all supported compute types.
2026-09-23-scalar-and-batch-unity-catalog-python-udfs-are-now-generally-available Generated by the Databricks Updates Agent · browse all updates