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. 

This guide will provide everything you need to start sharing data on Databricks whether you sell data as a product or share data with customers as a value-added service. We’ll walk through the basics of the platform and common use cases and then dive into the things you need to know to get started sharing on the Marketplace and beyond.

Bobsled CEO Jake Graham talks with Vertical Knowledge Chief Product Officer Rayne Gaisford and Facteus Co-Founder Jonathan Chin about the investments they are making to not only create differentiated data sets but build products that make accessing those insights as simple and fast as possible.

Sean Austin, CEO of Helios, talks with Bobsled about building data products in the age of AI, what data companies can borrow from software development, and how he thinks about improving user experience for data products.

We talk with Tom Gray, Principal of Financial Services Data Collaboration, at Snowflake about what the top companies are doing differently in its marketplace and how a new set of technologies are transforming the way data and app providers market their products.