Skip to main content

Deploy Salesforce Data Cloud with Copado Essentials

Deploy Salesforce Data Cloud with Copado Essentials

H
Written by Hoang Hai Tran
Updated this week

As Salesforce Data Cloud continues to evolve as the foundation for customer data management, organizations are increasingly looking for ways to streamline how configurations and metadata are deployed across environments. Keeping these configurations consistent ensures reliable data processing, faster innovation, and reduced manual setup.

Essentials provides a simple and robust way to manage these deployments. Through its native integration with Salesforce’s Metadata API, Essentials enables teams to move Data Cloud assets seamlessly between sandboxes, production orgs, and version control systems. This ensures that your environments remain synchronized and deployment processes stay efficient.

With Essentials, teams can select, validate, and deploy Data Cloud components directly to a target org or commit them to a source control repository as part of an automated CI/CD workflow — reducing errors and improving deployment governance.

In addition, you can use a Data Kit to deploy a package kit definition from one org to another. A Data Kit allows you to bundle and deploy multiple types of components together in a single package, making it easier to manage configurations and maintain consistency across environments. We have added dependencies management, making it easy for users to find all dependencies and deploy data kits in just a few clicks. You can learn more in this article Deploy Data Kit

Data kit dependencies

The table below lists all Data Cloud–specific metadata types currently supported by Essentials. This list continues to expand as Salesforce introduces new features and capabilities.

Copado Component Type

Data cloud concept

API name

Activation platform

Activation platform

Data Stream Template

Data kits

Data Source Bundle Definition

Data kits

Data Package Kit Definition

Data kits

Data Package Kit Object

Data kits

Streaming App Data Connector

Data connectors, Data streams

Mkt Data Tran Object

Data connectors, Data streams

External Data Source

Data connectors, Data streams

External Data Connector

Data connectors, Data streams

External Data Tran Object

Data connectors, Data streams

Data Stream Definition

Data connectors, Data streams

Data Stream Template

Data connectors, Data streams

Data Source Object

Data connectors, Data Lake Object

Data Source

Data connectors, Data Lake

Object Source Target Map

Relationships

Field Src Trgt Relationship

Relationships

Data Src Data Model Field Map

Relationships

Data Connector Ingest Api

Ingest API data stream

Calculated Insight Definition

Calculated insights

Data Calculated Insight Template

Calculated insights

Market Segment Definition

Segments

Data Connector S3

S3 data stream

Internal Data Connector

Internal Use

Data Kit Object Template

Data Object

Data Kit Object Dependency

Data Object

Custom Object

Data Model Object

Custom Fields

Data Model Field

Customer Data Platform Settings

Settings

In addition, we also provide out-of-the-box filter to help you easily list and compare data cloud related components in one single view.

Data cloud component filter.

Did this answer your question?