Why was Lakehouse such a hard category to create internally and externally?

Ali Ghodsi
Replied byAli Ghodsi

Co-Founder & CEO at Databricks

Niche: AI
Revenue: Approx. USD 583 Million/month
Location: San Francisco, California, USA
Started: 2013

Internally, the seasoned people said do not do it. The word sounds ridiculous in an enterprise context. Strategy consultants ran surveys and told us nobody wanted it. They came back with category names like Unified Data Science Platform. Our sales reps said that made no sense either. Externally, when we launched it, people made fun of us online. Data rivers. Data rapids. Ha. But I held firm and made it a maniacal obsession across the whole company. If a press article about Databricks did not mention Lakehouse, that was a failure. If a customer win did not reference Lakehouse, that was a loss. Even if our conversion data showed that mentioning Lakehouse hurt ad performance, I made us use Lakehouse in the ads anyway. It took multiple years of that kind of religious commitment before the category took hold.

0
From the Full Interview

This answer is part of a full interview with Ali Ghodsi, Co-Founder & CEO at Databricks.

Share this Answer

Found this insight valuable? Share it with your network to help others learn from Ali Ghodsi's experience.

Cite This Answer

Use this answer in your research, article, or academic work