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Salesforce Data 360

Salesforce Data 360

Customer Data Platform (CDP)Product· part of Salesforcesalesforce.com

Salesforce Data 360 (formerly Data Cloud) is a Salesforce platform that blends real-time data orchestration with enterprise-grade architecture to unify customer data across systems.

Last updated Oct 5, 2026 by the ATDb Editorial Team · Connections updated Oct 12, 2026

Founded
2022
HQ
San Francisco, California, United States
Parent
Salesforce
Connections
29

AI-drafted from public sources10 sources cited

At a glance

Employees
10000+
Revenue
Part of Salesforce (~$36B+ annual revenue)
Stock
CRM
25integrations2competitors1corporate family
Customer Data PlatformIdentity ResolutionPrivacy & Consent ManagementData Management Platform

About

The dominant enterprise CDP for Salesforce ecosystem customers; a top-3 CDP globally by install base and the only CDP natively embedded across a full CRM and AI agent platform

Salesforce Data 360 (formerly Data Cloud) is a Salesforce platform that blends real-time data orchestration with enterprise-grade architecture to unify customer data across systems. Rather than functioning as a standalone product, it serves as the foundational layer for nearly every new Salesforce innovation, including Marketing Cloud Next and Agentforce. Its core capability is unifying customer data from multiple sources into a single, real-time profile — merging data without altering the original source records. Cost is a critical consideration for users, as the platform is not flat-rate but consumption-based, with every action — whether ingestion, transformation, or activation — carrying a price. Source 1: salesforceben.com — Salesforce Data 360 (Formerly Data Cloud): The 3 Pillars ...

Business model

SaaS

Target market

Enterprise

What they offer

  • Unified Customer Profile

    Real-time identity resolution and data harmonization that merges records from any source into a single, actionable customer profile

  • Data Streams & Ingestion

    Connectors and APIs for ingesting structured and unstructured data from CRM, web, mobile, cloud storage, and third-party sources

  • Segmentation & Activation

    Drag-and-drop segment builder with real-time activation to Marketing Cloud, advertising platforms, and external destinations

  • Zero-Copy Data Federation

    Native integrations with Snowflake, Databricks, and Google BigQuery enabling data activation without physical data movement

  • Einstein AI & Predictive Scoring

    Built-in AI models for propensity scoring, next-best-action, and predictive analytics powered by unified profile data

  • Agentforce Data Foundation

    Serves as the memory and context layer for Agentforce AI agents, providing grounded, real-time customer context for autonomous workflows

  • Data Explorer & Calculated Insights

    SQL-based analytics workspace for building custom metrics, KPIs, and derived attributes on top of unified data

  • Consent & Data Governance

    Centralized consent management, data classification, and policy enforcement across all connected Salesforce clouds

Key features

Real-time data ingestion and streamingIdentity resolution across anonymous and known profilesZero-copy integration with major cloud data warehousesNative activation to Marketing Cloud Next and paid mediaAI-powered segmentation and predictive scoringAgentforce AI agent memory and grounding layerConsent management and GDPR/CCPA compliance toolingCross-cloud data sharing within Salesforce ecosystem

Use cases

Real-time personalization across web, email, and mobileUnified customer profile for AI agent context in AgentforceAudience segmentation and activation to paid media (Meta, Google, etc.)Cross-sell and upsell propensity scoring for sales teamsCustomer journey orchestration across Marketing Cloud NextConsent and privacy compliance managementB2B account-based marketing with unified account profilesChurn prediction and retention campaign activation

Customer segments

Enterprise B2C brands (retail, financial services, healthcare)Enterprise B2B companies using Salesforce CRMMarketing and data teams within Salesforce ecosystem customersDigital-native companies requiring real-time personalization at scaleRegulated industries needing consent and data governance

Tech & specs

Technology stack

Apache Kafka (real-time streaming)Salesforce Hyperforce (cloud-native infrastructure on AWS, Azure, GCP)Einstein AI / Einstein 1 PlatformSnowflake zero-copy sharingDatabricks integrationGoogle BigQuery federationGraphQL and REST APIsSalesforce Flow automation engine

Security & compliance

SOC 2 Type IIISO 27001GDPRCCPAHIPAA (with BAA)FedRAMP (select configurations)PCI DSS

Deployment

Cloud

API

Yes

Explore further

3 views
On the AtlasIdentity & DataOn the Mapby country + regionOn the GraphNetwork around Salesforce Data 360