Salesforce Data Cloud is Salesforce's CDP and data lakehouse, sitting alongside (and integrated with) Sales Cloud and Service Cloud. It ingests data from external sources, harmonizes it into unified profiles, and exposes it as Salesforce records via the Customer Graph.
Glossary · Salesforce
Data Cloud
Related terms
Articles tagged Data Cloud
Comparison
Salesforce Data Cloud vs Microsoft Fabric Customer Insights
Customer data unification in 2026: zero-copy vs lakehouse-native, identity resolution, activation surface, and the right pick by data org maturity.
Vector DB
Vector DB vs CRM-Native Semantic Search: The Real Decision
Bring your own Pinecone or use Data Cloud, Dataverse, Smart CRM semantic search? Cost, latency, governance, and the lock-in math.
Salesforce
Data Cloud Row-Level Formulas: Where They Quietly Kill You
Row-level formulas in Data Cloud look harmless until refresh windows balloon and credit burn doubles. Here are the pitfalls and the fix patterns.
Salesforce
Calculated Insights Explained: From Metrics to Activation
What calculated insights are in Salesforce Data Cloud, how to design them, and how they power segments, activation, and agent grounding.
Salesforce
Data Cloud + Agentforce: 7 Integration Patterns That Work
Seven practical patterns for grounding Agentforce agents in Data Cloud — identity, segments, calculated insights, and when to skip it entirely.
Salesforce
Data Cloud Data Model Fundamentals Every Admin Should Know
The Data Cloud data model explained — DSOs, DMOs, and DLOs — with a practical walkthrough of how data flows from ingestion to activation.