Salesforce Data Cloud (Data 360)
Ownership
- Formerly Salesforce Data Cloud · renamed Oct 2025 · source · In the Martech Market Report
At Dreamforce 2025 Salesforce renamed Data Cloud to Data 360 as part of its Agentforce 360 launch; the owner did not change and the product works the same way.
Recent acquisitions: Intercom (closed Sep 2026), Contentful (closed Sep 2026), Ninetailed (Contentful Personalization) (closed Sep 2026), Informatica (closed Nov 2025)
Closest Salesforce Data Cloud (Data 360) alternatives
Ranked by reviewed relationship first, then by the capabilities they share with Salesforce Data Cloud (Data 360).
Warehouse-native composable CDP for audience building and activation on data that stays in the warehouse. Acquired by…
Real-time customer data platform within the Tealium suite for building unified profiles, creating audiences, and…
Salesforce Data Cloud (Data 360) Pros & Cons
Key strengths and limitations to consider, drafted by an AI model from public sources
Strengths
- Native to the Salesforce Platform, so unified profiles and audiences can be used directly across Salesforce clouds without separate activation tooling
- Real-time capabilities for identity resolution, calculated insights and segments, enabling fast personalisation and responsiveness in customer journeys
- Supports activation to paid media destinations (for example LinkedIn) from first-party segments for targeting and suppression
- Transparent public list pricing for profile-based SKUs, with an additional pay-per-use Flex Credits model and free ingestion (you pay on actions)
Limitations
- Consumption/credit-based billing adds ongoing cost governance work and can be difficult to forecast without tight monitoring
- Some ‘free’ entry options are tied to specific Salesforce editions and entitlements, so access and scale can depend on your existing Salesforce licensing
- Identity resolution has operational constraints (for example scheduled matching timing is not user-controlled, and real-time matching can be strict about exact matches)
- Product naming is in transition (Data Cloud to Data 360), which can create documentation and enablement friction for teams
Ideal For
Who benefits most from Salesforce Data Cloud (Data 360), drafted by an AI model from public sources
Quick Analysis
Salesforce Data Cloud (now branded as Data 360) is best suited to organisations that already run core go-to-market processes on Salesforce and want a CDP that can activate audiences and insights natively across those clouds. It is a strong fit when real-time segmentation/identity resolution and Salesforce-first activation matter more than building a standalone, vendor-neutral CDP stack.
Unify customer and prospect data from Salesforce orgs plus external sources into a single profile for Customer 360 apps
Build near real-time segments and activate them to ad platforms (for example LinkedIn Matched Audiences) for acquisition, retargeting and suppression
Enrich sales and service experiences with external behaviour/telemetry data and calculated insights (for example lifetime value) inside Salesforce workflows
Run privacy-safe partner collaboration via clean rooms to expand audience reach without sharing raw data
Capabilities
Core Capabilities
Also Supports
Pricing
For eligible Salesforce customers (Enterprise Edition and above), Data 360 provisioning can be enabled at no cost with included entitlements such as Data Services credits (for example 250,000 credits), limited storage (for example 1 TB), and a limited set of admin/identity and integration users
Checked and not offered
4 capabilities that other customer data platform tools are built around, which Salesforce Data Cloud (Data 360) does not appear to cover. Each was checked against Salesforce Data Cloud (Data 360)'s own documentation in three separate AI passes, and only a majority verdict is recorded — the count is on each row.
A gap is not a fault — a product that does one job well is a reasonable thing to buy. It is only expensive when you find out after signing.
The page assigns personalized messaging campaign orchestration to Marketing Cloud Engagement, not Data 360.
Checked: https://help.salesforce.com/s/articleView· 3 of 3 passes agreed it is absent
Looked for a Data 360 agent builder or multi-agent orchestration module; the page describes Data 360 as an agent data foundation.
Checked: https://help.salesforce.com/s/articleView· 2 of 3 passes agreed it is absent
The documented Marketing Agent requires review and completion in the segmentation or activation canvas.
Checked: https://help.salesforce.com/s/articleView· 2 of 3 passes agreed it is absent
Looked for lookalike or predictive audience expansion; the page documents segmentation and advertising activation instead.
Checked: https://help.salesforce.com/s/articleView· 3 of 3 passes agreed it is absent
Read from public documentation, and documentation lags shipping. If you work at Salesforce Data Cloud (Data 360) and this is out of date, and we will record the correction against your name.
Runs alongside, not instead of
5 tools that overlap Salesforce Data Cloud (Data 360) on paper and were judged to do a different job in practice. Worth knowing before a consolidation exercise deletes one of them. These judgements were drafted by an AI model, and most were accepted on its confidence rather than checked one by one; the reason is recorded against each pair.
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