Data 360 features and changes are released as often as monthly, so check back again soon for the latest solutions. Changes included in the Summer ’26 release are generally listed under June 2026.
Note
As of October 14, 2025, Data Cloud has been rebranded to Data 360. During this transition, you may see references to Data Cloud in our application and documentation. While the name is new, the functionality and content remains unchanged.
August 2026
| KEY JOB AREA | FEATURE AND Release Note |
|---|---|
| Connect Data |
|
| Process Content |
|
| Use Search in Data 360 | |
| Build and Share Functionality | |
| Act on Data |
July 2026
June 2026
| KEY JOB AREA | FEATURE AND Release Note |
|---|---|
| Cross Cloud | |
| Usage and Access Changes |
|
| Get Started | |
| Govern & Secure | |
| Connect Data |
|
| Prepare and Model Data | |
| Unify Data | |
| Query and Enhance Data | |
| Process Content | |
| Use Search in Data 360 | |
| Build and Share Functionality | |
| Create Segments | |
| Act on Data | |
| Develop with Data 360 |
|
May 2026
- Get Started with Data Cloud
Learn about editions, feature availability, guidelines and billing before you get started using Data 360. - Plan Data Strategy
Before implement Data 360, determine strategies for org architecture, data model structure, governance, consent, and security policies. - Connect Data
Bring data into Data 360 by either ingesting data or connecting metadata using data federation. - Prepare and Model Data
Transform your raw data, map to the Customer 360 Data Model, and build data graphs in Data 360. - Unify Data
Use identity resolution to consolidate data from different sources into comprehensive views of your customers and accounts in Data 360. - Enhance Data with Insights
Get the most out of your data in Data 360 by creating calculated, streaming, or real-time insights. - Use and Build AI Models
Create your own predictive models or connect to external AI models using Data 360. - Build a Semantic Model
Create, manage, and query semantic models using Tableau Semantics. - Process Content
Use tools in Data 360 to process unstructured content and structured data for use in AI, automation, and analytics workflows. - Use Search in Data 360
Ground search on unstructured and structured data in Data 360 to use generative AI, improve analytics, and use automation tools. - Build and Share Functionality
Extend the use of Data 360 by building a sharing functionality using data kits and packages. - Create Segments
Create segments in Data 360 to understand, filter, and then use unified data for marketing and other purposes. - Act on Data
Share your data with external data sources, create data actions, creation activation targets and activations, build flows, or enrich your Salesforce org with Data 360 data. - Analyze Data
Use various tools and products to analyze your data from Data 360 to gain insights and take action. - Develop with Data 360
Build, automate, and extend your data strategy using developer tools and APIs to create seamless integrations and custom solutions within Data 360. - Govern and Secure Data 360
Protect your data with governance policies, classification, and security controls.
See Also
- Salesforce Help: Data Cloud Usage and Access Changes
- Salesforce Release Notes: Summer `25 Data Cloud Release Notes
- Salesforce Release Notes: Spring `25 Data Cloud Release Notes
- Salesforce Release Notes: Winter `25 Data Cloud Release Notes
- Salesforce Release Notes: Summer `24 Data Cloud Release Notes
- Salesforce Release Notes: Spring `24 Data Cloud Release Notes
- Salesforce Release Notes: Winter `24 Data Cloud Release Notes