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
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.


