Cloud data warehouses are becoming essential in the cloud ecosystem, enabling enterprises to store and analyze structured and semi-structured data.
Samuha aims to simplify cross-cloud collaboration by providing an intuitive platform for secure data sharing and collaboration within and across enterprises.
Samuha's vertical approach focuses on specific industries, offering pre-built templates and a natural language interface to empower non-technical users to access and derive insights from data.
Deep dives
The Importance of Cloud Data Warehouses in the Cloud Landscape
Cloud data warehouses have become a strategic and essential part of the cloud ecosystem. Enterprises are increasingly relying on cloud data warehouses and their power to store and analyze structured and semi-structured data. The focus is on leveraging the value of data and creating actionable business outcomes. However, the challenge lies in the need for secure and seamless collaboration within and across enterprises, regardless of the underlying data infrastructure and security posture. Existing solutions like Snowflake provide primitives, but there is a demand for a more intuitive and easy-to-use platform like Samuha that enables secure data collaboration and brings compute to data.
The Need for Cross-Cloud Collaboration and Secure Data Sharing
In today's fragmented market, no enterprise is fully reliant on a single cloud provider. Cross-cloud collaboration is essential, especially when businesses need to combine data sets and workloads from different cloud providers. Existing solutions require businesses to implement complex and customized behavioral coding themselves. Samuha aims to simplify this by offering an intuitive product experience that allows businesses to securely share and collaborate on data within their enterprise boundaries and across enterprise boundaries. The focus is on maintaining the sanctity and privacy of data without compromising its value.
Verticalizing Solutions for Different Industries and Use Cases
Samuha is taking a vertical approach in its go-to-market strategy. By focusing on specific industries like advertising, media, marketing, healthcare, and financial services, they aim to build end-to-end applications that address specific use cases within those industries. This includes audience overlap analysis, cycle detection for anti-money laundering, and more. By offering pre-baked templates and a natural language interface, Samuha aims to empower non-technical users to access and derive insights from data. The partnership with Snowflake provides a strong foundation for the distribution and adoption of Samuha's solutions.
Opportunity for Collaboration and Security
The podcast episode discusses the opportunity for collaboration and enhanced security in industries beyond traditional cloud computing. The speaker highlights the need for collaboration in sectors such as pharma, life sciences, health systems, and financial services. The goal is to bring enterprise-grade, mathematically guaranteed security and governance practices to these industries. By solving this problem, the speaker believes there is an opportunity to arbitrage the market before the hyperscalers fully address it. The discussion centers around the challenges, motivations, and potential impact of developing a secure data collaboration solution.
Partnership with Snowflake and Hyperscalers
The podcast delves into the partnership between the company and Snowflake as well as the possibility of working with other hyperscalers. The speaker explains that Snowflake acts as an abstraction layer in the data stack, and by building on top of their environment, the company can develop and validate proof points for collaboration securely. The speaker emphasizes the importance of being a step ahead of the market and utilizing the whitespace to establish themselves as leaders in this field. Ultimately, the goal is to provide a product that addresses the need for secure data collaboration and builds relationships with hyperscalers to expand the solution's reach.
On our AWS episode, we talked briefly about the next chapter of cloud: data warehouses. But what makes them so powerful? Why do enterprises rely on them? And how will cloud customers collaborate on data stored in multiple clouds?
We sit down with Kamakshi Sivaramakrishnan, the co-founder and CEO of Samooha, a new company backed by Altimeter and Snowflake Ventures to tackle the problem of secure data sharing and collaboration in the cloud. Kamakshi has an impressive background to speak to this problem, having been a part of AdMob (sold to Google), and the founder/CEO of Drawbridge, which sold to LinkedIn. She then went on to work in Microsoft's Office of the CTO, where she obviously had a lot of experience understanding the needs of cloud customers.
If you want a better understanding of how enterprises use the cloud, multi-cloud architecture, and how security and privacy works with customer data at scale, this episode is for you!
