In the latest episode of the Rise of the Data Cloud podcast, host Steve Hamm and Snowflake’s Co-Founder and President of Products Benoit Dageville discuss all things Data Cloud. Topics include the modern data stack, data application development, the importance of a single collaboration hub, and the data needs of different industries. 

Snowflake’s vision, says Dageville, is to create a global data network or “world wide web of data” that enables organizations to access and share internal and external data of all types—structured as well as unstructured. This is made possible by the modern data stack. Dageville says there are a number of important features of a modern data stack: It should be cloud-based and scalable with unlimited access to compute and storage resources. It should allow easy data sharing, no matter where organizations are in the world. It should be self-managed with a high level of security and governance. A critical aspect of the modern data stack is that it should be “open and collaborative,” with a vibrant ecosystem of partners that develop tools to leverage the data. It should be usable across different cloud providers. Finally, it should support application development in multiple coding languages. 

In the podcast, Dageville discusses how Snowflake is evolving into a powerful application development environment. Snowflake’s platform is enabling developers to create innovative data applications without the need to do administrative maintenance. The Powered By Snowflake program supports companies that are developing data applications on Snowflake. With the Snowpark library, developers can build applications that process data in Snowflake without moving data to the system where the application code runs. In the future, Dageville says he’d like to see companies be able to run 100% of any application in the Data Cloud. 

Dageville also emphasizes the importance of Snowflake as a single data collaboration hub that empowers users to have seamless access to data. A single platform that can run entwined workloads reduces the complexity of learning and connecting different systems. It reduces the inefficiency of moving data from one tool to another. It also mitigates the security risks that come from copying and moving data between systems. 

Hamm and Dageville also discuss how Snowflake is focusing on the needs of particular industries as it develops tools as well as data sets in Snowflake Data Marketplace. “If you think about the different verticals, like financial services, media, healthcare and life sciences, or retail, they each have very different ways of using data and different needs in terms of the data sets that they need to use,” says Dageville. Snowflake is working on building industry-specific software and data sets that solve data challenges and provide value to companies in each vertical. 

As for the future, Dageville says Snowflake is continually reinventing itself to meet the newest demands of customers, and he’s excited to see where the company goes next. To hear more, including how Dageville believes the Data Cloud will evolve in the next few years, listen to the full interview

​​Forward-Looking Statements

This post and podcast contain express and implied forwarding-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q  and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements.  As a result, you should not rely on any forwarding-looking statements as predictions of future events. 

© 2022 Snowflake Inc.  All rights reserved.  Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries.  All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s).  Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).