💬 In plain words: Zero-Copy means you do NOT move the data. Your rows stay exactly where they are—in Snowflake, Databricks, Amazon Redshift, or Google BigQuery. Salesforce Data Cloud reads them in place. That means no data pipeline to build, no expensive second copy to store, and no synchronization jobs breaking at 3:00 AM. 🎬 Real-Life Example: 500 Million Rows, Copied Twice Imagine a company with 500 million billing history rows sitting in Snowflake. The Old Way: Data engineers build a complex pipeline to ingest all 500 million rows into Salesforce. The company pays to store the massive dataset twice. They then spend months babysitting the pipeline to ensure both copies stay perfectly in sync. Meanwhile, the data warehouse team views Salesforce as a competitor duplicating their hard work. The Zero-Copy Way: You simply point Salesforce Data Cloud at the existing Snowflake table. The data is queried in place and dynamically joined ...
Data 360