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databricks Platform · Updated Jun 16, 2026

Lakeflow Designer

A visual, no-code experience for data transformation.

What it does

Lakeflow Designer is a visual, no-code, AI-native tool for data preparation and analytics, allowing users to create workflows through a drag-and-drop interface and natural language. These workflows, known as visual data preps, are supported by production-ready code and governed by Unity Catalog, ensuring a seamless transition from prototype to production. Users can utilize built-in operators or define their own custom operators to enhance functionality.

Why it matters

This release empowers data analysts to efficiently prepare and transform data without needing extensive coding skills, thereby increasing productivity and reducing time to insights. By leveraging a governed environment, organizations can ensure compliance and data integrity, which is critical for decision-making and operational efficiency.

Key capabilities
Visual Data Preps
Create and manage data transformation workflows using a drag-and-drop interface.
Built-in Operators
Utilize a variety of pre-defined operators to streamline data preparation tasks.
User-defined Operators
Develop custom operators tailored to specific business needs and workflows.
Natural Language Processing
Leverage natural language to simplify the creation of data transformation tasks.
Prerequisites
Databricks workspace with Unity Catalog enabled.
Compliance security profile may be required for some features.
Recommended use cases
Data analysts preparing datasets for reporting.Business users transforming data without coding.Creating custom data transformation workflows for specific analytics needs.
Architecture
Lakeflow Designer Interface → Data Ingestion → Visual Data Prep Creation → Built-in and User-defined Operators → Unity Catalog Governance
Get started
1
Access Lakeflow Designer
Navigate to Lakeflow Designer within your Databricks workspace.
2
Create a Visual Data Prep
Use the drag-and-drop interface to build your data transformation workflow.
3
Ingest Data
Import data into your visual data prep using the provided ingestion tools.
4
Utilize Built-in Operators
Incorporate built-in operators to enhance your data transformation process.
5
Define Custom Operators
Create user-defined operators to meet specific transformation requirements.
Key takeaway
Lakeflow Designer's GA release enhances data transformation capabilities for analysts, promoting efficiency and compliance.
2026-06-16-lakeflow-designer-is-now-generally-available Generated by the Databricks Updates Agent · browse all updates