# Databricks adds guardrails, joins, and version history to Lakeflow Designer

> Original title: More ways to build, validate, and manage data preparation workflows in Lakeflow Designer 🫡

- Source: Databricks
- Published: 2026-11-01T15:45:05.000Z
- Bad Influence: https://badinfluence.news/items/fo9w1an2q3zepdfn91drj5as7
- Original: https://x.com/databricks/status/2116919466470560018

## Summary

Databricks says its October roundup adds new Lakeflow Designer features for building, validating, and managing data preparation workflows. The update includes guardrails for data quality checks with control over failure handling, no-code operators for cleaning and deduplication, and multi-table joins in a single operator. It also adds parameterized inputs and outputs and visual version history for reviewing workflow changes.

## Post

More ways to build, validate, and manage data preparation workflows in Lakeflow Designer 🫡

Our October roundup highlights the latest enhancements:

• Guardrails for data quality checks, with control over what happens when checks fail
• No-code operators for cleaning and deduplication
• Multi-table joins in a single operator
• Parameterized inputs and outputs
• Visual version history to easily review workflow changes

https://www.databricks.com/blog/whats-new-lakeflow-designer-october-2026-roundup?utm_source=twitter&utm_medium=organic-social

[Video](https://badinfluence.news/api/img-proxy?u=https%3A%2F%2Fpbs.twimg.com%2Ftweet_video_thumb%2FHWDPBdLWgAABxkl.jpg&mode=thumb&exp=1793836800&sig=56feff2dc7d8e520)