databricks-lakeflow-connect
SkillBuild managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; PostgreSQL/MySQL CDC in PuPr) into Unity Catalog with serverless
Install
git clone https://github.com/databricks/databricks-agent-skills.git ~/.claude/skills/databricks-lakeflow-connectWhat is databricks-lakeflow-connect?
Build managed ingestion pipelines into Databricks using Lakeflow Connect. Use when ingesting from SaaS apps (Salesforce, Workday Reports, ServiceNow, Google Analytics 4, HubSpot, Confluence) or databases (SQL Server cloud and on-prem; PostgreSQL/MySQL CDC in PuPr) into Unity Catalog with serverless pipelines.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~78 tokens of context used while enabled, before you invoke anything
Documentation
README · ~9 min readLakeflow Connect
Build managed ingestion pipelines that pull from SaaS apps and databases into Unity Catalog Delta tables, governed end-to-end and powered by serverless Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables / DLT).
Status: mixed catalog — GA connectors for production use, plus Public Preview, Beta, and Private Preview connectors that expand over time. See the connector catalog below.
What Is Lakeflow Connect?
Managed connectors for ingesting data from SaaS applications and databases. The resulting ingestion pipeline is governed by Unity Catalog and powered by serverless compute and Lakeflow Spark Declarative Pipelines.
Three frames to keep in mind:
- Simple and low-maintenance — no client code to write, no message bus to operate; connector + UC Connection + a serverless pipeline.
- Unified with the lakehouse — credentials stored in UC, output is governed Delta, runs on Jobs and SDP like any other workload.
- Efficient incremental processing — change tracking / CDC / schema evolution / retries are built in.
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