Data 360

Data 360 features and changes are released as often as monthly, so check back again soon for the latest solutions. Changes included in the Spring 2026 release are generally listed under February.

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.

April 2026

KEY JOB AREA	Feature	Release Note
Usage and Access Changes	Perms, Licensing, and Billing	Data Cloud Usage and Access Changes
Get Started	Navigation	Streamline Your Tasks with New Data 360 Navigation (Beta)
Connect Data	Unstructured Connectors	Control Website Data Ingestion with Web Content Crawler and Sitemap Connectors Connect to More Unstructured Data Sources (Generally Available) Connect Unstructured Data to Government Cloud Orgs Ingest Site Pages and Site Assets into Data 360 (Generally Available)
	Structured Connectors	Troubleshoot Ingestion Errors with Problem Records DLOs
	Private Connect	Connect to Databricks on Azure with Private Connect
Use and Build AI Models	AI Models	Explore Advanced Capabilities in the New AI Models Tab
Use Search in Data 360	Retrievers	Measure Retrieval Augmented Generation (RAG) Performance with Retriever Metrics
Act on Data	Data Actions	Access Data Action and Data Action Targets in Companion Orgs with Data Cloud One
	Ad Audiences	Simplify LinkedIn CAPI Activation with the Conversion Type Filter Sync WhatsApp Engagement and Conversion Events to Meta using CAPI Measure Ad Performance with TikTok Conversion API
	Activations	Manage Activations in Companion Orgs with Data Cloud One Build Cross-Channel Journeys Using API Activations in Data 360 (Generally Available)
Develop with Data 360	Data 360 Connect REST API	Connect REST API Publish Batch DMO Activations On-Demand

March 2026

KEY JOB AREA	Feature	Release Note
Usage and Access Changes	Perms, Licensing, and Billing	Data Cloud Usage and Access Changes
Query and Enhance Data		Dive Into Customer Shopping Cart Behavior with Insights Connect and Visualize Data 360 Data with Microsoft Power BI
Process Content	Document AI	Use Data 360 Document AI in Government Cloud Orgs
Use Search in Data 360	Content Parsers	Combine Docling Parsing with LLM-Based Image Processing for Accuracy and Cost-Efficiency Customize Retrievers with Advanced Filter Conditions
Build and Share Functionality	Sandbox	Deploy Data Kits Across Data Spaces
Create Segments	Segment Builder	Analyze Filter Impact with Segment Filter Count
Act on Data	Activation	Clarify Activation Field Names with Output Name Standardize Contact Point Setup with Activation Templates
Develop with Data 360	Data 360 Connect REST API	Connect REST API New Connect in Apex Classes

February 2026

KEY JOB AREA	Feature	Release Note
Cross Cloud	Data 360 Reports	Expand Reporting Capabilities with More Row-Level Formulas
	Data Processing Engine	Run Definitions in Data 360 Companion Orgs Data 360 Enhancements in Data Processing Engine
	List Builder	Extend Actionable Lists to Your Companion Orgs
	Loyalty Management	Set up Data Graphs in Companion Orgs Enhance Audience Targeting with Unified Individuals
	Referral Marketing	Set up Data Graphs in Companion Orgs Enhance Audience Targeting with Unified Individuals
Usage and Access Changes	Perms, Licensing, and Billing	Data Cloud Usage and Access Changes
Usage and Access Changes	Data 360 Consumption	Filter Credit Consumption by Data Space
Connect Data	Private Connect	Private Connect Moves to Admin Tools
	Salesforce CRM Connector	Re-enable a Disabled CRM Connector Data Stream Field Confirm Salesforce CRM Connection Changes for Enhanced Security
	Document AI	Provide Schema-Level Prompts to Guide Extraction in Document AI for Data 360
	Web SDK	Capture Real-Time Engagement Data with Page Type for Google Analytics 4
	Fully Qualified Keys in Companion Orgs	Use Fully Qualified Keys for Data Differentiation in Companion Orgs
Prepare and Model Data	Data Transforms	Create Engagement Target Objects Directly in Batch Data Transforms Create Batch Data Transforms by Using Custom Code with Code Extension (Beta)
Use and Build AI Models	Einstein Studio	Explore Predictive Model Lineage from Your Model Details
Build a Semantic Model	Tableau Semantics	Organize Data for Deep Analysis with Dimension Hierarchies View Semantic Models with Restricted Fields or Data Objects Build and Navigate Complex Models With the Improved Semantic Builder Canvas
Use Search in Data 360	Search and Retrievers	Add Context to Chunks with Prepend Fields from Data Model Objects Fine-Tune, Test, and Optimize Retrievers in Retriever Playground (Generally Available)
Build and Share Functionality	Sandbox	Protect Active Connector Settings During DevOps Data Kit Deployment in Data 360 Sandbox Extend Data 360 by Using Custom Code with Code Extension (Beta)
Act on Data	Copy Field Enrichments	Leverage Currency Fields in Copy Field Enrichments Merge Copy Field Enrichments from Sandbox to Production
	Activation	Use Batch DMO Activations in Activation-Triggered Flows
	Ad Audiences	Monitor the Match Count for Your Activations to Advertising Platforms
	Code Extension	Deploy Code Extension Components Using Data Kits (Beta)
Analyze Data	Data Lens	Visualize Your Data Without SQL in Data 360
Analyze Data	Notebook AI	Research and Analyze Enterprise Content with Data 360 Notebook AI (Generally Available)
Develop with Data 360	Data 360 Connect REST API	Connect REST API Explore the Updated Data 360 Connect REST API Reference Extract Data from Specific Pages with Document AI Review the Accuracy of Extracted Data with Confidence Scores in Document AI
Develop with Data 360	Data 360 Reference Guide	Retirement of Data 360 Reference Guide

January 2026

KEY JOB AREA	Feature	Release Note
Usage and Access Changes	Perms, Licensing, and Billing	Data Cloud Usage and Access Changes
Connect Data	Private Connect	Connect to Snowflake on Azure with Private Connect Support for Snowflake Instances on Different AWS Regions
Connect Data	Connectors	Ingest Adobe Experience Manager (AEM) Assets into Data 360 Ingest Helpjuice Knowledge Articles into Data 360 Ingest Unstructured Documents with the Microsoft SharePoint Unstructured Data (Documents) Connector (Generally Available) Ingest YouTube Video Content into Data 360 (now GA) Ingest Box Content into Data 360 (now GA)
Prepare and Model Data	Data Model Objects (DMOs)	Ingest Data Faster with Ready-to-Use Data Lake Objects
Use and Build AI Models	Einstein Studio	Build Predictive Models Faster with the Enhanced Einstein Studio
Build a Semantic Model	Tableau Semantics	Unify Data Views with Global Filters Standardize Business Performance with the Updated Metric Creation Flow
Build and Share Functionality	Sandbox	Clean Up Data 360 Metadata in Older Sandboxes
Act on Data	Activation	Activate Segments with Consistent Order of Attributes or Columns Optimize Activation Payloads with the Is Changed Operator Trigger Data 360 Activations Directly from a Flow (Beta)
Act on Data	Clean Rooms	Data 360 Clean Rooms Are Now Generally Available
Develop with Data 360	Data 360 Connect REST API	Connect REST API

Get Started with Data 360
Learn about editions, feature availability, guidelines and billing before you get started using Data 360.
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.
Query and Enhance Data with Insights
Get the most out of your data in Data 360 by creating calculated, streaming, or real-time insights.
Process Content
Use generative AI-based tools in Data 360 to process unstructured data for use in AI, automation, and analytics workflows.
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.
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.
Create Segments
Create segments in Data Cloud 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.
Build and Share Functionality
Extend the use of Data 360 by building a sharing functionality using data kits and packages.
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.

Data 360

April 2026

March 2026

February 2026

January 2026

See Also