Databricks iconDatabricksSep 11, 2026 ~6 min source read

Unify your marketing data with Lakeflow Connect

Lakeflow Connect is a set of fully managed native connectors that ingests marketing, CRM, ad, and analytics data directly into Databricks as governed tables in Unity Catalog, reducing integration overhead and enabling a complete customer 360.

Unify your marketing data with Lakeflow Connect

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Lakeflow Connect provides point-and-click or API setup for native connectors that land governed, incrementally refreshed Delta tables in Unity Catalog with no infrastructure to manage.

Connectors cover the full customer journey—acquisition, engagement, relationship, and experience—so teams can build a Customer 360 without custom ingestion pipelines.

Ad connectors deliver pre-built and customizable report tables (spend, impressions, clicks, conversions) that arrive as governed tables and refresh incrementally.

# Connect does

Lakeflow Connect is a managed ingestion product that provides native connectors for SaaS apps, ad platforms, analytics, databases, and file sources. Each connector lands data as governed, managed tables in Unity Catalog on the Databricks Platform. You can set up connectors through a point-and-click UI or a simple API. The service ingests data incrementally and removes the need for teams to provision or maintain ingestion infrastructure.

# Why marketing teams need it

Modern marketing stacks are fragmented across ad networks, analytics tools, and CRMs. Historically, teams built custom ingestion pipelines and brittle scripts to stitch those data sources together. That work consumes engineering time and slows analysts who need fast answers about campaign performance, retention drivers, or churn risk. Lakeflow Connect aims to replace that patchwork with a single ingestion engine that collects data across the customer journey and produces governed tables ready for downstream use.

# Coverage across the customer journey

Lakeflow Connect organizes connectors by stages of the customer lifecycle:

  • Acquisition: Google Analytics, Google Ads, Meta Ads, TikTok Ads, Reddit Ads, LinkedIn Ads, Google Search Console.
  • Engagement: Salesforce Marketing Cloud, SendGrid, Marketo.
  • Relationship: Salesforce, HubSpot, Dynamics 365.
  • Experience: Zendesk Support, Amplitude, Pendo.

# Ad reports: ready-made and customizable

Ad connectors produce report tables out of the box with common metrics like spend, impressions, clicks, and conversions. Each report lands as its own governed Delta table and updates incrementally. There are two report modes:

  • Pre-built reports: ready-made tables covering typical analytics needs (for example, daily campaign performance or audience splits by age and gender).
  • Custom reports: analyst-configurable reports to specify attribution windows, timeframes, metrics, and breakdowns so data aligns with how the organization measures performance.

Today, Google Ads, Meta Ads, and TikTok Ads connectors support managed authentication and provide both pre-built and custom report options.

# How teams use it in practice

# Downstream activation

# Practical implications

For marketing analytics teams, Lakeflow Connect reduces the engineering burden of ingestion, standardizes governance by writing to Unity Catalog, and speeds access to cross-channel reports. Analysts can rely on incrementally refreshed, governed tables rather than maintaining many bespoke connectors and scripts.

# Where it fits in an enterprise stack

Lakeflow Connect functions as the ingestion layer that feeds a governed lakehouse. It complements CI/CD workflows through Declarative Automation Bundles and aims to reduce the time and effort required to centralize martech, CRM, ad, and analytics data.

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