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Data 360 (Data Cloud)
Secure the front door. Email is where most attacks arrive — 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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How it’s rated
Full scoreboard ↓Quick answer
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 \u2014 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 across your systems — Salesforce clouds (sales, service, marketing, commerce), data warehouses, apps, streaming events and external sources — via connectors and streams. Bring all your customer data together. Every source, connected.
Harmonise & Resolve Identity
Harmonise the data to a common model and resolve identities — matching records across sources into a SINGLE unified profile per customer. So instead of fragmented, duplicated records, you get one complete, accurate view of each customer. One customer, one profile.
Real-Time Unified Profiles
Maintain real-time, unified customer profiles — continuously updated — that represent the complete, current view of each customer (who they are, what they've done, across every touchpoint). The single source of customer truth. The living customer view.
Zero-Copy Architecture
A defining feature — zero-copy: work with data in your warehouse (Snowflake, Databricks, BigQuery) via bidirectional sharing, WITHOUT physically copying it. So you unify and use data without massive duplication, cost and sync headaches. Your data, unified in place. No copy, no chaos.
Activate — fuel AI & everything
Make the unified, real-time data available everywhere — to personalisation, segmentation, analytics, and — most importantly now — AI agents (Agentforce) and predictions (Einstein), grounding them in a complete, trusted view. Good AI needs good data. The fuel for intelligent action.
One agent on every machine, one console over all of them — modules attach without a second operational world.
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 portfolio, and paired with the human firewall.
Ingest from Everywhere
Connect and ingest customer data from Salesforce clouds, data warehouses, apps, streaming events and external sources — batch and real-time — so all your customer data flows into one place. Bring it all together. Every source, one platform.
Identity Resolution
Match and merge records across sources into a SINGLE profile per customer — resolving duplicates and fragments into one complete identity. The core of a CDP: one customer, one profile. End the fragmentation.
Data Harmonisation & Model
Harmonise disparate data to a common model — so data from different systems speaks the same language and can be unified, queried and used consistently. Order from chaos. Consistent, usable data.
Zero-Copy (Warehouse Sharing)
Work with data in Snowflake, Databricks or BigQuery WITHOUT copying it — via bidirectional zero-copy sharing — so you unify and use warehouse data in place, avoiding massive duplication, cost and sync issues. A defining, modern advantage. Your data, unified where it lives.
Real-Time Unified Profiles
Maintain continuously-updated, real-time unified profiles — the complete, current view of each customer across every touchpoint. Not a stale snapshot: the living customer view. Always current, always complete.
Governance, Privacy & Trust
Governance, consent and privacy management — so the unified data is used compliantly (consent, data rights, security). Trusted data isn't just complete — it's governed. Data you can trust and use responsibly.
Enterprise Data Management (Informatica)
Reinforced by Salesforce's Informatica acquisition (~$8B, closed Nov 2025) — deepening enterprise data management, integration, quality and governance beneath Data 360. Serious data foundations. Enterprise-grade data, for AI.
Segmentation & Insights
Build segments and calculated insights on the unified data — so you can define and use audiences and metrics grounded in the complete customer view, for marketing, analytics and AI. Turn unified data into action. Audiences and insights, grounded.
The Fuel for Agentforce (AI Agents)
The most important role now — Data 360 grounds Agentforce AI agents in a complete, real-time, trusted customer view, so agents reason and act on accurate data (not hallucinations). Good AI needs good data. The foundation that makes AI agents trustworthy.
Powers Customer 360 (All Clouds)
The unified data flows into Sales, Service, Marketing and Commerce — so every cloud, and every team, works from the same real-time customer view (true Customer 360). One data foundation, every cloud. The single source of customer truth.
Grounds Einstein & Analytics
Data 360 grounds Einstein predictions and Tableau analytics in the complete, real-time customer view — so predictions and insights are accurate and current. Better data, better AI and analytics. Intelligence grounded in truth.
Warehouses & Ecosystem
Partnerships and zero-copy with Snowflake, Databricks and BigQuery, plus the AppExchange and MuleSoft, mean Data 360 works WITH your data ecosystem — complementing warehouses, not just competing. Fits your data stack. Unify with, not against, your data.
Watch Data 360 in action
The overview, getting started, and protecting M365 email.
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 on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Data 360 apart (and how it fits your warehouse).
One unified, real-time customer profile — end the fragmentation
The core reason Data 360 (Data Cloud) is valued is that it unifies fragmented customer data from across all your systems into a SINGLE, real-time customer profile — ending the data fragmentation that plagues most organisations. The problem it solves: customer data is scattered across many systems — CRM, marketing, service, commerce, e-commerce, apps, warehouses, external sources — each with its own partial, often duplicated view of the customer. So no one has a COMPLETE, accurate, current view: marketing sees one thing, sales another, service another; records are duplicated and inconsistent; and you can't personalise, analyse or (now) power AI well, because the data is a fragmented mess. Fragmented customer data is a fundamental barrier to good customer experience and AI. What Data 360 provides: Data 360 unifies it: Ingest from everywhere — CRM, marketing, service, commerce, warehouses, apps, events, external sources, batch and real-time. Identity resolution — match and merge records across sources into ONE profile per customer, resolving duplicates and fragments. Harmonisation — bring disparate data to a common model, so it's consistent and usable. Real-time unified profiles — continuously updated, complete, current views of each customer across every touchpoint. Governed — with consent and privacy management, so the data is trusted and compliant. So you get ONE complete, accurate, real-time view of each customer — the single source of customer truth — instead of fragmented, duplicated, partial records. Why it matters: a unified, real-time customer profile is foundational — it enables better personalisation (know the whole customer), coordinated experiences (every team works from the same view), accurate analytics, and — crucially — trustworthy AI (grounded in complete, accurate data). For any organisation serious about customer experience, data-driven decisions, or AI, ending data fragmentation with a unified profile is essential, and Data 360 delivers it. The value: Data 360 unifies fragmented customer data into a single, real-time customer profile — the single source of customer truth — ending the fragmentation that blocks good CX and AI. For a complete customer view, this matters. TechBag helps organisations unify customer data with Data 360. TechBag helps you end data fragmentation.
THE fuel for AI — good agents need good data
The most important reason Data 360 matters NOW is that it's THE fuel for AI — Agentforce agents and Einstein predictions are only as good as their data, and Data 360 grounds them in a complete, real-time, trusted customer view. This is why it's strategically central and fast-growing. The problem it solves: AI — especially autonomous agents (Agentforce) — is powerful, but its usefulness and trustworthiness depend entirely on the DATA it works from. An AI agent grounded in fragmented, incomplete, stale or inaccurate data will give wrong answers, take wrong actions, or hallucinate — which is dangerous for autonomous agents that ACT. So the biggest barrier to trustworthy, effective enterprise AI is the data foundation. You can't have good AI without good data. What Data 360 provides: Grounds Agentforce — AI agents reason and act on the complete, real-time, unified customer profile (and your knowledge and systems), so they're accurate and trustworthy (not hallucinating on partial data). Real-time and complete — agents work from current, full context, not stale snapshots. Governed and trusted — with consent, privacy and governance, so AI uses data compliantly and safely. Grounds Einstein and analytics too — predictions and insights are accurate because the data is. The foundation, first — Salesforce positions Data 360 as the trusted-data foundation you build AI on; it's why Salesforce reinforced it with the Informatica acquisition (~$8B). So Data 360 is what makes Salesforce's AI (Agentforce, Einstein) actually work well and safely — grounded, accurate, trustworthy. Why it matters: as organisations rush to adopt AI (especially agents), the #1 determinant of success is the data foundation — and Data 360 provides it. Trustworthy, effective AI requires complete, real-time, governed data; Data 360 is that fuel. This is why it's strategically central to Salesforce now (~$1.4B ARR, +114% YoY) and why 'the AI is only as good as the data' is the theme. For anyone adopting Salesforce AI, Data 360 isn't optional — it's the foundation. The value: Data 360 is THE fuel for AI — grounding Agentforce agents and Einstein in a complete, real-time, trusted customer view, so the AI is accurate and trustworthy (not hallucinating). For effective, safe AI, this matters. TechBag helps organisations build the data foundation for AI with Data 360. TechBag helps you make your AI trustworthy — with good data.
Zero-copy — unify with your warehouse, no duplication
A defining, modern strength of Data 360 is its ZERO-COPY architecture — it can work with data in your warehouse (Snowflake, Databricks, BigQuery) WITHOUT physically copying it — so you unify and use data without massive duplication, cost and sync headaches. The problem it solves: traditionally, unifying data (into a CDP or another system) means COPYING it — extracting data from source systems and warehouses and duplicating it into the new platform. This causes real problems: massive data duplication (storage cost), constant syncing (complexity, latency, drift), and governance headaches (multiple copies of sensitive data). As data volumes explode and organisations invest heavily in cloud data warehouses (Snowflake, Databricks, BigQuery), copying everything again is wasteful and painful. What Data 360 provides: Zero-copy sharing — Data 360 can access and use data that LIVES in your warehouse (Snowflake, Databricks, BigQuery) via bidirectional zero-copy integration, WITHOUT physically copying it into Salesforce. Bidirectional — data flows both ways (use warehouse data in Salesforce; share Salesforce data to the warehouse) without duplication. Unify in place — you get the unified, usable customer view without the cost, latency and governance issues of copying everything. Complements the warehouse — crucially, this means Data 360 works WITH your data warehouse investment (not against it) — your warehouse remains your data hub, and Data 360 unifies and activates it for CRM/AI. So you unify and activate your data — for personalisation, analytics and AI — without massive duplication, honouring your existing warehouse investment. Why it matters: zero-copy is a genuinely modern advantage — it avoids the cost and complexity of copying (storage, sync, governance), works WITH your data warehouse (a big deal for organisations invested in Snowflake/Databricks), and reduces data sprawl. As 'the modern data stack' centres on cloud warehouses, a CDP/data foundation that unifies in place (not by copying) fits far better. For data-savvy organisations, this architecture is a real differentiator. The value: Data 360's zero-copy architecture unifies data in your warehouse (Snowflake, Databricks, BigQuery) WITHOUT copying it — avoiding duplication, cost and sync issues, and working WITH your data investment. For the modern data stack, this matters. TechBag helps organisations unify data zero-copy with Data 360. TechBag helps you unify data without duplicating it.
The honest note — what Data 360 is (and isn't), and cost
An honest thing to understand is what Data 360 IS and ISN'T — it's a CDP and customer-data foundation (especially for CRM and AI), NOT a full replacement for a data warehouse — and, like all of Salesforce, it's part of the cost/complexity picture. Why we clarify this: Data 360 is powerful and strategically central, but there's genuine confusion about how it relates to data warehouses and CDPs, and cost is a real consideration — being clear helps you use it correctly. What Data 360 IS: a customer data platform (CDP) and customer-data FOUNDATION — it unifies customer data into real-time profiles, resolves identity, and activates that data for personalisation, analytics and (crucially) AI/Agentforce, deeply integrated with Salesforce (Customer 360). Its sweet spot is unifying and activating CUSTOMER data for CRM and AI. What Data 360 IS NOT (usually): a full replacement for your enterprise DATA WAREHOUSE (Snowflake, Databricks, BigQuery) — in fact, via zero-copy, it's designed to work WITH your warehouse (which often remains your central data hub for broad analytics and non-customer data). So it typically COMPLEMENTS warehouses rather than replacing them — the warehouse for broad data/analytics, Data 360 for unifying and activating customer data for CRM/AI. Understanding this avoids the mistake of thinking it's an either/or. Cost and scope: like the rest of Salesforce, Data 360 is priced by consumption/usage (data volume, profiles, processing) and is part of Salesforce's overall cost/complexity picture; and it needs a real data-integration effort (connecting sources, resolving identity, governance) to deliver value. Done thoughtfully (right scope, right architecture with your warehouse), it's foundational; done carelessly, it's a costly, under-used data project. What to do: scope it as the CUSTOMER-DATA foundation for CRM/AI (using zero-copy WITH your warehouse), plan the integration and governance, and manage cost. This is where a partner adds value. The value: being honest — Data 360 is a customer-data foundation/CDP (for CRM and AI), complementing (not replacing) your warehouse via zero-copy; it's part of Salesforce's cost/complexity picture and needs real data effort. TechBag scopes it correctly — as the customer-data foundation, with your warehouse — and manages cost. TechBag helps you use Data 360 for what it's genuinely great at.
From Salesforce — strategically central, reinforced by Informatica
Data 360 comes from Salesforce — the CRM and cloud pioneer (NYSE: CRM) — where it's now strategically central (the fuel for AI) and reinforced by the Informatica acquisition, which matters because your data foundation is critical and long-lived. The leader and its data bet: Salesforce (NYSE: CRM, founded 1999, ~$37.9B FY25 revenue, 150,000+ customers) has made Data 360 strategically central — it's positioned as the trusted-data foundation for the whole 'Agentforce/360' AI vision, and it's fast-growing (~$1.4B ARR, +114% YoY). For a data foundation — which everything (CRM, AI, analytics) depends on — having it from the leader, deeply integrated with the #1 CRM and its AI, provides real value. Reinforced by Informatica: Salesforce acquired Informatica (~$8B, announced May 2025, closed Nov 2025) specifically to deepen enterprise data management, integration, quality and governance — underpinning Data 360 as a serious enterprise data foundation for AI. This is a major commitment to the data layer. The complete platform: Data 360 powers Customer 360 — feeding unified data to Sales, Service, Marketing and Commerce, and grounding Agentforce and Einstein — so it's the data heart of the whole Salesforce platform. And zero-copy integration with Snowflake, Databricks and BigQuery means it fits the modern data ecosystem. India relevance: Salesforce has major India engineering (Hyderabad, Bengaluru and more) and INR pricing — and as Indian enterprises adopt AI, a trusted data foundation is increasingly essential. Via TechBag (Bengaluru-based), Indian organisations get Data 360 with local scoping, licensing and GST invoicing. The value: Data 360 — from Salesforce, strategically central as the fuel for AI, reinforced by the Informatica acquisition, and integrated across the platform and with data warehouses — is a serious, well-backed data foundation. TechBag supplies it with local scoping and support. TechBag provides the trusted-data foundation for AI, scoped and supported in India.
The honest scope
Data 360 — renamed at Dreamforce 2025 from Data Cloud — is Salesforce's customer data platform (CDP) and unified data foundation: it unifies customer data from across your systems into a single, real-time customer profile, and is now positioned as THE fuel for AI and Agentforce. From the #1 CRM and cloud pioneer (NYSE: CRM). The honest framing — strengths, scope, and competition: Data 360's strengths are unifying fragmented customer data into one real-time profile (ending fragmentation), being the trusted-data foundation that grounds AI (Agentforce, Einstein) — its most important role now — its zero-copy architecture (unify with warehouses without copying, a modern advantage), deep Customer 360 integration, and the Informatica-reinforced enterprise data management. Its honest scope: it's a CUSTOMER-DATA foundation/CDP for CRM and AI, complementing (not usually replacing) your data warehouse; and it's part of Salesforce's cost/complexity picture, needing real data-integration effort. The competitive landscape: Segment (Twilio) is a leading standalone CDP — for a best-of-breed CDP not tied to Salesforce, Segment competes. Adobe Real-Time CDP is the Adobe-stack rival (strong for Adobe experience/marketing). Snowflake and Databricks are data warehouses/lakehouses — often COMPLEMENTARY to Data 360 (not either/or; Salesforce has a Snowflake zero-copy partnership) — for broad, large-scale data and analytics, the warehouse leads, while Data 360 unifies and activates CUSTOMER data on top. So the honest positioning: for unifying and activating CUSTOMER data — grounding Salesforce AI (Agentforce/Einstein) in a trusted, real-time view, integrated with the #1 CRM, working WITH your warehouse via zero-copy — Data 360 leads (especially for Salesforce customers); for a standalone CDP, Segment; for broad data/analytics at scale, Snowflake/Databricks (complementary). Data 360 is most compelling for organisations on Salesforce wanting a trusted customer-data foundation for AI and CX — alongside their warehouse. TechBag scopes Data 360 honestly — as the customer-data foundation (with your warehouse via zero-copy), planning integration and governance, comparing vs Segment/Adobe, and licensing and supporting it with GST invoicing.
The numbers behind the platform
What your Data 360 journey looks like
Data-foundation scoping
Your customer-data sources (CRM, marketing, service, warehouse, apps), your AI goals (grounding Agentforce?), and how Data 360 fits WITH your warehouse (zero-copy). TechBag scopes it — as the customer-data foundation — and compares vs Segment honestly.
Connect & unify
Ingest and connect your sources (including zero-copy with Snowflake/Databricks/BigQuery), harmonise the data, and resolve identities into one real-time profile per customer. End the fragmentation.
Govern & ground AI
Set up governance, consent and privacy, then activate the unified data — grounding Agentforce agents and Einstein, and feeding Customer 360 (Sales, Service, Marketing). Trusted data, fuelling AI.
Optimise & scale
Optimise the architecture and cost, expand sources and use cases, and (with Informatica) deepen data management and governance. TechBag manages cost and supports you (GST invoicing).
Trusted across regulated industries in 100+ countries
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“Data 360 ended our customer-data fragmentation — CRM, marketing, service and our warehouse unified into one real-time profile per customer. For the first time, every team works from the same complete customer view.”
“The reason we adopted it: our AI is only as good as its data. Data 360 grounds Agentforce in a complete, real-time, trusted customer view — so our agents act on accurate data, not hallucinations. It's the foundation.”
“Zero-copy was the deciding factor — we're heavily invested in Snowflake, and Data 360 unifies and activates that data WITHOUT copying it. It works with our warehouse, not against it. No duplication, no sync nightmares.”
“Identity resolution merged our fragmented, duplicated records into one profile per customer. The single source of customer truth — which then fuels personalisation, analytics and our AI agents. Foundational.”
“Honest: it's a real data-integration effort and part of Salesforce's cost, and it complements our warehouse rather than replacing it. TechBag scoped it correctly — as the customer-data foundation, with our warehouse — so it delivered.”
“We compared Segment (standalone CDP) — but because we're on Salesforce and needed to fuel Agentforce, Data 360's native integration and zero-copy won. TechBag gave an honest comparison for our stack.”
“With Informatica behind it, the enterprise data management, quality and governance got serious — a real foundation for AI, not just a CDP. That reinforced our confidence in building on it.”
“Salesforce offers INR pricing, and TechBag handled scoping, the data architecture (with our warehouse), licensing and GST. Local expertise made Data 360 deliver for us as an Indian enterprise.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. 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 Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
CDP + AI data foundation, CRM-native. This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
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 email-security 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 do email threats cost 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) \u2014 the wins are trustworthy AI, unified CX, and no data duplication. NB: it's a customer-data foundation (complements the warehouse) \u2014 TechBag scopes it right. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Data 360 is priced by consumption/usage (data volume, profiles, processing) \u2014 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 device counts 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 (no complete view)? Data 360 unifies it into one real-time profile — the single source of customer truth.
Adopting AI (Agentforce)? Good AI needs good data — Data 360 grounds agents and Einstein in a complete, trusted, real-time view (no hallucinating on partial data).
Invested in Snowflake/Databricks/BigQuery? Data 360's zero-copy unifies that data WITHOUT copying it — working WITH your warehouse.
Want every cloud (sales, service, marketing) on the same customer view? Data 360 is the data foundation feeding true Customer 360.
Understand Data 360 is a CUSTOMER-DATA foundation/CDP for CRM+AI — it COMPLEMENTS your warehouse (zero-copy), not usually replaces it. TechBag scopes it correctly.
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) \u2014 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.