Auto-fulfillment is a north star for many data product management teams. We breakdown why leading data and software companies are investing in auto-fulfillment and walk through a few common deployment models we see with our customers. 

Teams can now securely share data to customers natively on BigQuery from any data lake or warehouse using the platform’s native sharing protocol.

We talk with Javier Pérez Trufero, VP Product & Data at CARTO, about the experience of building data products in a software company, what it means to make software and data products “cloud native,” and how his team is automating fulfillment for its 11,000+ data products using the Bobsled API.

In an increasingly competitive environment, data businesses need to help customers find value in their dataset as fast as possible. We spoke with sales and customer success leaders at data companies to identify six tactics for reducing churn. 

In this post, we will walk through what data teams want from SaaS products, why existing capabilities are not meeting requirements, and breakdown how some of the biggest software companies in the world are building and marketing data sharing as their next big feature.

We talk with Tom Ashenmacher, Chief Revenue Officer at LinkUp, about what makes selling data unique, building more consumable data products and how data sharing is changing the way the company brings its products to market.

Learn how Corelogic is using Delta Sharing and Databricks Marketplace to grow its business in the age of AI.

Teams can now instantly share and market data products natively to customers on Databricks without ever managing a Databricks Workspace.