Salesforce Data 360 (Data Cloud)
Data 360 (formerly Data Cloud) is Salesforce’s customer data platform & unified data foundation — unify customer data from all your systems into one real-time profile, and fuel AI (Agentforce) with trusted data. Zero-copy with your warehouse. Good AI needs good data.
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The Salesforce platform family
This page covers Data 360 (Data Cloud) — the data foundation. The rest of the Salesforce platform:
Quick facts
30-second orientation- Product
- Data 360 (formerly Data Cloud) — CDP / data foundation
- Vendor
- Salesforce (founded 1999 · NYSE: CRM)
- The category
- Customer data platform (CDP) & data foundation
- What it does
- Unify customer data into one real-time profile
- The role
- THE fuel for AI & Agentforce (trusted data)
- Naming (2025)
- 'Data Cloud' → 'Data 360' (we dual-label)
- The architecture
- Zero-copy (Snowflake/Databricks/BigQuery)
- Growth
- ~$1.4B ARR, +114% YoY (Salesforce)
- Vs
- Segment (Twilio), Adobe RT-CDP, Snowflake/Databricks
- In India via
- TechBag — scoping, licensing, GST
Understand the customer data platform before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Data 360?
Salesforce’s customer data platform (CDP) & unified data foundation (renamed from Data Cloud) — unify customer data from all your systems into one real-time profile, and fuel AI (Agentforce) with it. Zero-copy with your warehouse.
Fragmented data vs unified Data 360 — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Data 360 (Data Cloud) (Salesforce) |
|---|---|---|
| Customer data | Fragmented across systems | One unified, real-time profile |
| Identity | Duplicated, inconsistent | Resolved — one profile per customer |
| AI grounding | AI on partial/stale data | AI grounded in trusted, real-time data |
| Warehouse | Copy everything (duplication) | Zero-copy — unify in place |
| Every cloud | Each cloud its own data | One data foundation (Customer 360) |
| Governance | Scattered | Consent, privacy, governed |
| Data mgmt | Basic | Enterprise-grade (Informatica) |
| Cost/scope | (varies) | Customer-data foundation — scope it, with warehouse |
Data 360 (formerly Data Cloud) is Salesforce’s CDP & unified data foundation — unify customer data into one real-time profile, and fuel AI (Agentforce) with trusted data, zero-copy with Snowflake/Databricks/BigQuery. Honest: it’s a customer-data foundation that COMPLEMENTS your warehouse (not usually a replacement), and part of Salesforce’s cost. Standalone CDP? Segment. TechBag scopes it correctly, architects with your warehouse, and handles GST.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Ingest & Connect
Ingest customer data from Salesforce clouds, data warehouses, apps, streaming events and external sources via connectors and streams.
Harmonise & Resolve Identity
Harmonise data to a common model and resolve identities, matching records across sources into a single unified profile per customer.
Real-Time Unified Profiles
Unified profiles update continuously in real time, giving a complete, current view of each customer across every touchpoint.
Zero-Copy Architecture
Zero-copy: work with data in Snowflake, Databricks or BigQuery through bidirectional sharing, without physically copying it, avoiding duplication, cost and sync work.
Activate — fuel AI & everything
The unified data feeds personalisation, segmentation, analytics and, above all, Agentforce agents and Einstein predictions, grounding them in a trusted view.
A unified record of each customer — sales, marketing and service drawing on the same context, not on copies of their own.
Twelve capabilities. Unify, trust, activate.
Data 360 unifies fragmented customer data into one real-time, trusted profile — and grounds AI agents (Agentforce) in it — the data foundation of the Salesforce portfolio.
Ingest from Everywhere
Ingest customer data from Salesforce clouds, warehouses, apps, streaming events and external sources, in batch and real time.
Identity Resolution
Identity resolution matches and merges records across sources into a single profile per customer, removing duplicates.
Data Harmonisation & Model
Harmonise data from different systems to a common model so it can be unified, queried and used consistently.
Zero-Copy (Warehouse Sharing)
Bidirectional zero-copy sharing uses data in Snowflake, Databricks or BigQuery in place, without duplication, cost or sync issues.
Real-Time Unified Profiles
Unified profiles update continuously, giving a complete, current view of each customer across every touchpoint, not a stale snapshot.
Governance, Privacy & Trust
Consent, privacy and governance management keep the unified data compliant with data rights and security requirements.
Enterprise Data Management (Informatica)
The Informatica acquisition (~$8B, closed Nov 2025) deepens data management, integration, quality and governance beneath Data 360.
Segmentation & Insights
Build segments and calculated insights on the unified data, defining audiences and metrics for marketing, analytics and AI.
The Fuel for Agentforce (AI Agents)
Data 360 grounds Agentforce agents in a complete, real-time customer view, so they reason and act on accurate data, not hallucinations.
Powers Customer 360 (All Clouds)
Unified data flows into Sales, Service, Marketing and Commerce, so every team works from the same real-time customer view.
Grounds Einstein & Analytics
Data 360 grounds Einstein predictions and Tableau analytics in the complete, real-time customer view, so insights stay accurate.
Warehouses & Ecosystem
Zero-copy with Snowflake, Databricks and BigQuery, plus AppExchange and MuleSoft, lets Data 360 work with your existing data stack.
Watch Data 360 in action
The overview, getting started, and the core workflows.
Unify, Understand & Act on Customer Insights: Data Cloud
Data Cloud / Data 360, explained.
Drive 3x Sales Pipeline with Data 360 & AI
Data 360 as the fuel for AI.
What Is Agentforce and How Businesses Use AI Agents
The AI that Data 360 fuels.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Leads are noise. One customer record is signal.
Here’s what genuinely sets Data 360 apart (and how it fits your warehouse).
One unified, real-time customer profile — end the fragmentation
Customer data sits across CRM, marketing, service, commerce, apps and warehouses, each with a partial, duplicated view. Data 360 ingests it all, resolves identities into one profile per customer, harmonises it to a common model, and keeps that profile current in real time, with consent and privacy management.
THE fuel for AI — good agents need good data
AI agents are only as good as their data: on fragmented or stale data they act wrongly or hallucinate. Data 360 grounds Agentforce and Einstein in a complete, real-time, governed customer view. Salesforce reinforced it with the ~$8B Informatica acquisition, and it has reached ~$1.4B ARR, up 114% YoY.
Zero-copy — unify with your warehouse, no duplication
Copying data into a CDP means duplicated storage, constant syncing and more copies of sensitive data. Data 360’s bidirectional zero-copy integration works with data where it lives in Snowflake, Databricks or BigQuery, so your warehouse stays the hub and Data 360 activates it for CRM and AI.
The honest note — what Data 360 is (and isn't), and cost
Data 360 is a CDP and customer-data foundation for CRM and AI, not a replacement for your data warehouse; via zero-copy it is built to work with Snowflake, Databricks or BigQuery. It is priced by consumption (data volume, profiles, processing) and needs a real integration, identity and governance effort.
From Salesforce — strategically central, reinforced by Informatica
Salesforce (NYSE: CRM, ~$37.9B FY25 revenue, 150,000+ customers) treats Data 360 as the data foundation for its AI vision, and bought Informatica (~$8B, closed Nov 2025) to deepen data management and governance. It has major India engineering in Hyderabad and Bengaluru and INR pricing.
The honest scope
Data 360, renamed from Data Cloud at Dreamforce 2025, is Salesforce’s CDP: it unifies customer data into real-time profiles and grounds Agentforce. Segment (Twilio) is the leading standalone CDP and Adobe Real-Time CDP the Adobe-stack rival; Snowflake and Databricks usually complement it.
The numbers behind the platform
What your Data 360 journey looks like
Data-foundation scoping
Map your customer-data sources and AI goals, and how Data 360 fits with your warehouse via zero-copy; compare Segment honestly.
Connect & unify
Connect sources (zero-copy for Snowflake, Databricks, BigQuery), harmonise the data and resolve one profile per customer.
Govern & ground AI
Set up governance and consent, then activate the data to ground Agentforce and Einstein and feed Sales, Service and Marketing.
Optimise & scale
Optimise architecture and cost, add sources and use cases, and deepen governance with Informatica; TechBag invoices with GST.
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“CRM, marketing, service and our warehouse now sit in one real-time profile per customer. Every team finally sees the same view.”
“Our AI is only as good as its data. Data 360 grounds Agentforce in a trusted, real-time view, so our agents act on accurate data.”
“Zero-copy decided it: Data 360 uses our Snowflake data without copying it, so there’s no duplication and no sync nightmare.”
“Identity resolution merged our duplicated records into one profile per customer, feeding personalisation, analytics and AI.”
“It’s a real integration effort and adds to our Salesforce cost, and it complements our warehouse rather than replacing it.”
“We compared Segment, but on Salesforce, with Agentforce to feed, Data 360’s native integration and zero-copy won.”
“With Informatica behind it, data management, quality and governance got serious: a real foundation for AI, not just a CDP.”
“TechBag handled scoping, the data architecture with our warehouse, licensing and GST, and Salesforce offers INR pricing.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and review-site grids score satisfaction, not fit for your estate. So here’s TechBag’s synthesis of the CDP & customer-data-foundation market — tap any vendor to see why it sits where it does.
TechBag Customer Data Platform Grid
Execution strength vs product vision — the classic market map, minus the paywall.
CDP + AI data foundation, CRM-native. This page's product.
Data-Platform Depth × AI Grounding
The grid nobody publishes — data-platform depth vs CRM-native AI grounding.
CRM-native + fuels AI + zero-copy.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Data 360 vs the CDP & data field
Segment, Adobe RT-CDP, Snowflake, Databricks and Treasure Data — honest lanes; the edge is CRM-native + fuels AI + zero-copy. Standalone CDP? Segment. Broad warehouse? Snowflake/Databricks (complementary, not either/or). We say so.
| Dimension | Salesforce Data 360 | Segment (Twilio) | Adobe RT-CDP | Snowflake | Databricks | Treasure Data |
|---|---|---|---|---|---|---|
| Position | CDP + AI data foundation (CRM-native) | Leading standalone CDP | Adobe-stack CDP | Cloud data warehouse | Data lakehouse / AI | Enterprise CDP |
| CRM-native (Customer 360) | Native (all clouds + AI) | Integrations | Adobe stack | Warehouse (not CDP) | Lakehouse | Integrations |
| Grounds AI agents (Agentforce) | Native (fuels Agentforce) | Via integration | Adobe AI | Via integration | Strong AI/ML | Some |
| Zero-copy / warehouse fit | Zero-copy (Snowflake/Databricks/BQ) | Some | Some | Is the warehouse | Is the lakehouse | Integrations |
| Broad data / analytics at scale | Customer-data focus | Customer-data focus | Experience-data focus | Deepest (warehouse) | Deepest (lakehouse/AI) | CDP-focused |
| Governance / enterprise data mgmt | Strong (+ Informatica) | Good | Adobe governance | Strong | Unity Catalog | Good |
| Best fit | Customer-data foundation for CRM + AI (Salesforce) | Standalone best-of-breed CDP | Adobe-stack CDP | Broad data warehouse (complements) | Data lakehouse / AI at scale | Enterprise CDP |
Which sales, marketing & CX approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Salesforce Data 360 if…
- ✓You want to UNIFY fragmented customer data into one real-time profile — the single source of customer truth (especially on Salesforce)
- ✓You're adopting AI and need a TRUSTED data foundation — to ground Agentforce agents and Einstein in accurate, real-time data
- ✓You want zero-copy — unify data in your warehouse (Snowflake, Databricks, BigQuery) WITHOUT copying it, working WITH your data investment
- ✓You want it native to Customer 360 — feeding Sales, Service, Marketing and Commerce one customer view (with Informatica-reinforced data management)
Segment (Twilio) if…
- ✓You want a standalone, best-of-breed CDP not tied to Salesforce
Snowflake / Databricks if…
- ✓You need a broad data warehouse/lakehouse for large-scale data and analytics (often COMPLEMENTARY to Data 360, via zero-copy)
Adobe RT-CDP if…
- ✓You're on the Adobe experience/marketing stack and want its native CDP
What could this save you?
Drag the sliders (count data sources/team; hour cost as loaded rate). Estimates contrast fragmented customer data (partial views, duplicates, AI hallucinating on bad data, copy-everything duplication) vs Data 360 (one real-time profile, trusted AI grounding, zero-copy with the warehouse) — the wins are trustworthy AI, unified CX, and no data duplication. NB: it's a customer-data foundation (complements the warehouse) — TechBag scopes it right. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Three ways to consume it
Data 360 is priced by consumption/usage (data volume, profiles, processing) — part of Salesforce's platform pricing, not a simple per-user figure. Honest: it's a real data-integration effort and part of Salesforce's cost, and it COMPLEMENTS your warehouse (zero-copy), not usually replaces it. Reinforced by Informatica (~$8B, closed Nov 2025). INR pricing available. TechBag scopes it correctly (as the customer-data foundation, with your warehouse) and handles GST.
Data 360 (consumption-based)
Best for CRM + AI data foundation
- Priced by consumption (data volume, profiles, processing) — not per-user
- Zero-copy with Snowflake/Databricks/BigQuery — complements your warehouse
- Grounds Agentforce & Einstein; native to Customer 360; INR pricing available
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ The data foundation (scoped right)
Best value with TechBag
- Scoped as the CUSTOMER-DATA foundation (not a warehouse replacement)
- Informatica-reinforced enterprise data management, quality & governance
- TechBag architects it WITH your warehouse, manages cost, handles GST
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your requirements and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Is your customer data fragmented across systems, with no complete view? Data 360 unifies it into one real-time profile.
Adopting Agentforce? Is your data complete and trusted enough to ground agents and Einstein in a real-time view?
Invested in Snowflake, Databricks or BigQuery? Data 360’s zero-copy works with that data without copying it.
Want every cloud (sales, service, marketing) on the same customer view? Data 360 is the data foundation feeding true Customer 360.
Do you need a customer-data foundation for CRM and AI that complements your warehouse via zero-copy, not replaces it?
Need governed, compliant customer data (consent, privacy)? Data 360 governs it — reinforced by Informatica-grade data management.
Understand it's a real data-integration effort and part of Salesforce's cost. TechBag scopes the architecture and manages cost.
Standalone CDP (Segment)? Broad warehouse (Snowflake/Databricks — complementary)? Adobe stack (RT-CDP)? TechBag compares honestly.
Questions buyers ask
Ready for a trusted data foundation for AI?
Scope Data 360 (unify fragmented customer data into one real-time profile, and fuel Agentforce AI with trusted data, zero-copy with your warehouse) — and let a TechBag advisor architect it correctly (as the customer-data foundation, WITH your warehouse), integrate your sources, and manage cost. Or compare vs Segment / your warehouse strategy.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.