how would you define the success of snowflake's data sharing capabilities?

Introduction

Defining the success of Snowflake's data sharing capabilities is crucial for evaluating the effectiveness of this core feature and its impact on the company's overall strategy. To approach this product success metric problem effectively, I will follow a simple product success metric framework. I'll cover core metrics, supporting indicators, and risk factors while considering all key stakeholders.

Step 1

Product Context

Snowflake's data sharing capabilities allow organizations to securely share live data across their business ecosystem without moving or copying data. This feature enables real-time data access and collaboration between different Snowflake accounts, departments, or even external partners.

Key stakeholders include:

1. Data providers (companies sharing their data)
2. Data consumers (those accessing shared data)
3. Snowflake (as the platform facilitating the sharing)
4. IT and security teams (ensuring data governance)

The user flow typically involves:

1. Data provider sets up a share in their Snowflake account
2. Provider grants access to specific consumers
3. Consumers access shared data through their own Snowflake account
4. Consumers query and analyze shared data as if it were their own

This feature aligns with Snowflake's broader strategy of becoming the central hub for data storage, processing, and collaboration in the cloud. It differentiates Snowflake from traditional data warehousing solutions by enabling seamless data sharing without data movement or duplication.

Compared to competitors like Amazon Redshift and Google BigQuery, Snowflake's data sharing is more user-friendly and flexible, allowing for easier cross-cloud and cross-region sharing.

In terms of product lifecycle, data sharing is in the growth stage. It's gaining traction among customers but still has significant room for adoption and feature expansion.