Rippling Data Cloud: Zero Copy for Snowflake

As part of today’s Rippling Data Cloud announcement, we’re launching Zero Copy Query Federation for Snowflake, giving companies a direct way to bring business data into Rippling Data Cloud without having to replicate it. With Zero Copy, you can connect data you have already replicated from systems like sales, finance, support, product, and engineering to the employee data already in Rippling.

What is Zero Copy for Snowflake? 

Zero Copy is a native data connection between Snowflake and Rippling Data Cloud. Data is continuously available as first-class objects inside Rippling, without the overhead of ETL pipelines.

Zero Copy is an alternative to using traditional Data Connectors, which offer different benefits. Whereas Data Connectors can bring in rich metadata from the source system itself, Zero Copy connections build context directly from the warehouse by analyzing query history, identifying which fields are actively maintained (or deprecated), and sampling real values from each table and field.

The benefits of Rippling-on-top

Using Rippling AI to analyze data via Zero Copy is superior to analyzing that data directly inside Snowflake. A generic BI/AI layer can query data, but it lacks the critical context of Rippling’s worker identities, permissions, historical employment context, and the semantic understanding of workforce fields. Marrying this with sales, finance, or support data allows you to answer real business questions that begin with “who.” 

It also democratizes and governs access to data in your warehouse. HRBPs, finance partners, managers, and executives can ask natural-language questions that combine warehouse data with Rippling data without needing Snowflake credentials, schema knowledge, or to make a data-team request.

Other reasons this approach might make for your business include:

• Rippling can now connect to warehouse data in-place. With a zero copy connection to Snowflake, Rippling can query existing warehouse data without duplicating, migrating, or re-platforming it. These objects appear in the Data Catalog and can be used in reports, dashboards, transformations, and AI queries, just like native Rippling data.

• Business data is joined to the worker identities. Companies can connect revenue, product usage, support, finance, or engineering data to employees, teams, managers, departments, locations, and cost centers, which is foundational to good analysis.

• Context is enriched. Although Data Connectors do more to enhance the context of data inside Rippling, data available via Zero Copy still gets query history, we still generate context around sample values, which fields are most/least updated and/or filled in. 

• Rippling applies org-aware permissions to warehouse data. Access can be scoped by role, department, reporting line, or permission profile, and updates automatically as people change jobs or managers, even though the data remains in Snowflake. 

The result is a new way to use the business data you already have: not as isolated tables in a warehouse, but as employee-aware, permission-aware objects inside Rippling Data Cloud. Your warehouse continues to be the source of truth for business activity; Rippling adds the worker context needed to understand the “who” questions.