Salesforce data layer for unifying profiles, zero-copy access, segmentation and activation.
#4 of 8 in Customer Data Platforms by Overall Score
Salesforce Data 360, formerly Data Cloud, connects structured and unstructured customer data for use across Salesforce and external systems. It supports zero-copy federation with platforms such as Snowflake, Databricks and BigQuery, then harmonizes sources into a common data model. Identity Resolution creates unified profiles that can feed segmentation, calculated insights, activation and other Customer 360 experiences.
Salesforce renamed Data Cloud to Data 360, while preserving a focus on customer harmonization inside its ecosystem. The practical value is the ability to connect a unified profile to Salesforce applications and actions; organizations should assess consumption-based entitlements and identity rules before modeling real-time event volumes.
Calculated from facts we verified on Salesforce Data 360 (formerly Data Cloud)'s own website, using published thresholds. Nobody can pay to change it. Together with Market Signal it makes the Overall Score of 62 that orders our lists.
Dimensions without verified data count as a neutral 2.5. Facts checked October 17, 2026. How the rating works
Computed from Ahrefs data about Salesforce Data 360 (formerly Data Cloud)'s pages on salesforce.com/data (Semrush can't measure one section of a site). Not an assessment of the product itself. How this works →
Market Strength
59
Where it stands today
Momentum
73 Cooling ↓
Where it’s heading
Data Confidence
Limited
How much to trust it
Tick mark = category average. Authority is only measured for all of salesforce.com, so it counts as the category average.
Compared with 13 tracked Data & Enrichment tools (a small set, so read it as directional). Data through September 2026, pulled October 17, 2026.
| Plan | Monthly | Annual (mo) |
|---|---|---|
| Enterprise | Custom | Custom |
Pricing shown reflects list prices as of our last check and may have changed. Confirm current pricing on Salesforce Data 360 (formerly Data Cloud)'s website before purchasing.
Snowflake, Databricks, Google BigQuery, Amazon Redshift, MuleSoft, Salesforce Clouds
Help center, Community forum, Dedicated account manager, Phone, Email
Why choose it: Product and data teams that want one governed event pipeline feeding analytics, marketing tools and a warehouse.
Strengths
Limitations
Why choose it: Data-mature marketing teams that want to activate warehouse data without maintaining a separate traditional CDP database.
Why choose it: Enterprises that need real-time customer profiles and audience activation across a large marketing technology stack.
Why choose it: Enterprises that want governed customer data, audience activation, and AI agents working from a shared customer-data foundation.
Customer data platform connecting event collection, identity, audiences, governance, and downstream tools.
Customer data and marketing automation platform joining journeys, analytics, email, SMS, and audience profiles.
Warehouse-native customer data platform for event pipelines, profiles, audiences, and activation.
Salesforce Data 360 (formerly Data Cloud) doesn't have a permanently free plan, but offers a free trial of its paid plans.
Salesforce Data 360 (formerly Data Cloud) uses usage-based pricing without a single published starting price, so cost depends on volume. See its pricing page for current rates.
Commonly considered alternatives include Twilio Segment, Hightouch, Tealium and Treasure AI (formerly Treasure Data). The Alternatives section on this page shows what each one is best at and its starting price.
