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databricks Platform · Updated Jun 11, 2025

DLT is now Lakeflow Spark Declarative Pipelines

The product known as DLT is now Lakeflow Spark Declarative Pipelines.

What it does

The product known as DLT is now Lakeflow Spark Declarative Pipelines. No migration is required to use Lakeflow Spark Declarative Pipelines. Lakeflow Spark Declarative Pipelines (SDP) is a framework for creating batch and streaming data pipelines in SQL and Python.

Why it matters

Lakeflow SDP extends and is interoperable with Apache Spark Declarative Pipelines, while running on the performance optimized Databricks Runtime.

Recommended use cases
Azure ADLS Gen2Google Cloud Storage)message buses (such as Apache KafkaAmazon Kinesis
Architecture
Databricks Platform → Platform
In short

The product known as DLT is now Lakeflow Spark Declarative Pipelines. No migration is required to use Lakeflow Spark Declarative Pipelines.

Read the full documentation ↗
Key takeaway
The product known as DLT is now Lakeflow Spark Declarative Pipelines.
2025-06-11-dlt-is-now-lakeflow-spark-declarative-pipelines Generated by the Databricks Updates Agent · browse all updates