Case Study: Housing.com simplifies home-buying and boosts data-driven innovation with Databricks

Helping more people find their next dream home

Housing.com, the real estate platform, needed a more effective way to handle billions of scattered data points across property, finance, tax, and market sources as it worked to improve home renting, buying, selling, and financing experiences. To stay competitive, it turned to Databricks and its Data Intelligence Platform to unify data, improve accuracy, and support more advanced analytics and AI-driven decisions.

Databricks helped Housing.com move to a lakehouse-style platform that connected teams, reduced data silos, and streamlined collaboration. The results included 10% to 15% faster deployment of pipelines, reports, and ML models, one less week of manual work for ML deployment, 20% faster collaborative workflows, 50% lower platform spending, a 0.05% reduction in fraudulent credit card transactions, and a 5.5% increase in prospect-to-lead conversion through better personalization.

Housing.com

Nikhil Sikka

Sr. Engineering Manager