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databricks Platform · Updated Sep 10, 2025

Python custom data sources can be used with Lakeflow Spark Declarative Pipelines

You can use Python custom data sources and sinks in your pipeline definitions in Lakeflow Spark Declarative Pipelines.

What it does

You can use Python custom data sources and sinks in your pipeline definitions in Lakeflow Spark Declarative Pipelines. For information about Python custom data sources, see the following: Load data from a Python custom data source. PySpark custom data sources.

Why it matters

Reduces operational overhead and unlocks new capabilities for data teams on Databricks.

Architecture
Databricks Platform → Platform
In short

You can use Python custom data sources and sinks in your pipeline definitions in Lakeflow Spark Declarative Pipelines. For information about Python custom data sources, see the following: Load data from a Python custom data source.

Read the full documentation ↗
Key takeaway
You can use Python custom data sources and sinks in your pipeline definitions in Lakeflow Spark Declarative Pipelines.
2025-09-10-4a9b6255 Generated by the Databricks Updates Agent · browse all updates