Case Study: Databricks achieves scalable marketing analytics and reliable data pipelines with Fivetran

Fivetran The Secret Sauce Behind Databricks’ Marketing Analytics Growth

Databricks, the data and AI platform, needed a better way to support its growing marketing analytics function as the team expanded from one person to five. Marketing data was fragmented across siloed systems and a traditional warehouse setup, creating unreliable pipelines, stale reports, and too much time spent on maintenance instead of analysis.

Using Fivetran to ingest data from sources like Marketo, Salesforce, Facebook Ads, and Google Analytics into Databricks’ lakehouse, the team quickly moved to a low-code, self-sufficient pipeline model. Fivetran saved Databricks over 40 hours of engineering time per month, improved trust in marketing data, and enabled the team to build Tableau dashboards plus new data science and machine learning projects that improved forecasting, targeting, and accountability.

Databricks

Chris Klaczynski

Marketing Analytics Manager