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Salesforce Data 360

Salesforce Data 360

Customer Data PlatformProduct· 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 29, 2026 by ATDb automated enrichment

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

AI-drafted from public sources10 sources cited

At a glance

Employees
10001+
Revenue
Part of Salesforce (~$36B+ annual revenue)
Stock
CRM
25integrations2competitors1corporate family
Customer Data PlatformIdentity ResolutionPrivacy & Consent ManagementData Management Platform

About

Salesforce's foundational data unification layer, deeply embedded across the Salesforce ecosystem and positioned as a core enabler of AI-driven CRM and marketing automation at enterprise scale.

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

  • Data 360 (formerly Data Cloud)

    Real-time customer data platform that ingests, harmonizes, and unifies data from multiple sources into a single customer profile without modifying source records.

  • Identity Resolution

    Merges data from disparate sources to create unified customer profiles using deterministic and probabilistic matching.

  • Data Streams

    Connectors that ingest data from external systems, Salesforce clouds, and third-party sources into the platform.

  • Calculated Insights

    Allows users to define and compute metrics and KPIs on unified profile data for segmentation and activation.

  • Activation

    Enables marketers to push unified audience segments to external destinations such as advertising platforms and marketing tools.

  • Data Graphs

    Provides a semantic layer connecting unified data objects for use by AI models and Agentforce agents.

Key features

Real-time data ingestion and unificationIdentity resolution across sourcesConsumption-based pricing modelNative integration with Salesforce Marketing Cloud Next and AgentforceZero-copy data federation (data stays at source)Audience segmentation and activationAI-ready data layer for Salesforce Einstein and Agentforce

Use cases

Unified customer profile creation for personalizationReal-time audience segmentation for marketing campaignsPowering AI agents with trusted, unified customer dataCross-channel marketing activationCustomer journey orchestrationData harmonization across CRM, commerce, service, and marketing clouds

Customer segments

Enterprise B2C brandsEnterprise B2B organizationsRetail and e-commerce companiesFinancial services firmsHealthcare organizationsMedia and entertainment companies

Tech & specs

Technology stack

Hyperforce (Salesforce cloud infrastructure)Apache Kafka (real-time streaming)Salesforce Einstein AIGraphQL / REST APIsBring Your Own Lake (data lake integration)

Security & compliance

SOC 2GDPRCCPAISO 27001HIPAA (with BAA)

Deployment

Cloud

API

Yes

Explore further

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