--- schema_version: "1" id: f20c11a8083644c5d07cfb43fc37f054b18fcefee39f88aae42b78969a0d08aa title: Data 360 Extensibility Readiness Matrix collection: developer version: current locale: en-us portal_url: https://docs.salesforce.com/developer/current/en-us/data-cloud/data-cloud-dmo-mapping/guides/c360a-api-isv-readiness-data.md canonical_url: https://developer.salesforce.com/docs/data/data-cloud-dmo-mapping/guide/c360a-api-isv-readiness-data.html source_site: developer.salesforce.com content_type: documentation content_hash: cc2263f4388b73c6cf452775b4d0797e35dbb1e58dccb74712b8259b91004acf products: - Data 360 DMO and Mapping Guide - Data 360 Developer Documentation --- # Data 360 Extensibility Readiness Matrix Data 360 provides two types of data kits to deploy your metadata and process definitions. Choosing the right data kit depends on your use case and deployment environment. Use the guidelines to determine the best option for your needs. ## Types of Data Kits Salesforce offers two types of data kits to package and deploy Data 360 solutions. **Standard Data Kit** Create a standard data kit to package and share your Data 360 features and solutions with customers. You can create the data kit from the default data space and deploy it to any data space in the target org. With a standard data kit, you can distribute Data 360 solutions tailored to your customers' needs. **Local Sandbox Deployment** Use standard data kits in a Data 360 sandbox to replicate metadata and process definitions from a default data space to a non-default data space. Add the assets into a data kit and use the local data kit deploy feature to install them in the target space. See [Replicate Data 360 Configurations Using Local Data Kits](https://help.salesforce.com/s/articleView?id=data.c360_a_replicate_data360_configurations_using_local_data_kits.htm). Supported components for local deployment: - Calculated insight - CRM data stream - Data action target - Data lake object - Ingestion API stream - Market segment - Streaming app (web and mobile) **DevOps Data Kit** Use a DevOps data kit to migrate Data 360 metadata from a sandbox org to a production org. You can create the DevOps data kit from any data space. But you must deploy it to the same data space in the target org. ### Supported Data 360 Features The table lists Data 360 configuration elements that you can deploy using each type of data kit. To deploy Data 360 features, first add them to a data kit, and then add the data kit to a managed package. | **Data 360 Feature** | **Standard Data Kit** | **DevOps Data Kit** | | --------------------------------------------------------------------------------------------- | --------------------- | ------------------- | | Activation: Amazon S3 | Yes | Yes | | Activation: Marketing Cloud | Yes | Yes | | Activation: Native-Data Cloud | Yes | Yes | | Activation: SFTP, Microsoft Azure, GCS | Yes | Yes | | Activation: Commerce Cloud, Loyalty, and Marketing Cloud Personalization | No | No | | Activation: AgentExchange partners (Liveramp, Criteo, and Tradedesk) | Yes | Yes | | Activation: Ad Audiences partners (Google Ads, Amazon Ads, Meta, and LinkedIn) | Yes | Yes | | Activation: Communication Capping enabled (Marketing Cloud, SFTP, and Microsoft Azure) | No | No | | Activation: API Activation | Yes | Yes | | Activation: Activation Templates | No | No | | Activation: Batch DMO | No | No | | Activation: Streaming (Meta CAPI and LinkedIn CAPI) | No | No | | Activation target: Amazon S3 | Yes | Yes | | Activation target: Marketing Cloud | Yes | Yes | | Activation target: Native-Data Cloud | Yes | Yes | | Activation target: SFTP, Microsoft Azure, GCS | Yes | Yes | | Activation target: Commerce Cloud, Loyalty, and Marketing Cloud Personalization | No | No | | Activation target: AgentExchange partners (Liveramp, Criteo, and Tradedesk) | No | No | | Activation target: Ad Audiences partners (Google Ads, Amazon Ads, Meta, and LinkedIn) | No | No | | Activation target: Communication Capping enabled (Marketing Cloud, SFTP, and Microsoft Azure) | No | No | | Advertising Audiences: Marketing Cloud Advertising | No | No | | Bring Your Own Model (BYOM) | No | No | | Calculated Insights: SQL | Yes | Yes | | Calculated Insights: Builder | Yes | Yes | | Calculated Insights: Streaming | Yes | Yes | | Code Extension | No | Yes | | Connector: Amazon Kinesis | Yes | Yes | | Connector: Amazon S3 | Yes | Yes | | Connector: Azure | Yes | Yes | | Connector: B2C | Yes | Yes | | Connector: CRM | Yes | Yes | | Connector: Google Cloud Platform | Yes | Yes | | Connector: Google Cloud Storage | Yes | Yes | | Connector: Ingestion API | Yes | Yes | | Connector: Marketing Cloud Account Engagement | No | No | | Connector: Marketing Cloud Engagement | Yes | Yes | | Connector: Marketing Cloud Personalization | No | No | | Connector: Mobile SDK | Yes | Yes | | Connector: Snowflake | Yes | Yes | | Connector: Web SDK | Yes | Yes | | Data 360 Reports | Yes | Yes | | Data Governance - Tags | No | Yes | | Data Action: CRM | Yes | Yes | | Data Action: Marketing Cloud Engagement | Yes | Yes | | Data Action: Webhook | Yes | Yes | | Data Action Target: Marketing Cloud Engagement | Yes | Yes | | Data Action Target: Salesforce Platform | Yes | Yes | | Data Action Target: Webhook | Yes | Yes | | Data Graph | Yes | Yes | | Data Lake Object (DLO) | Yes | Yes | | Data Model Mappings | Yes | Yes | | Data Model Object (DMO) | Yes | Yes | | Data Share | Yes | Yes | | Data Share Target: Snowflake | No | No | | Data Space: Custom | Yes | Yes | | Data Space: Default | Yes | Yes | | Data Transform: Batch | Yes | Yes | | Data Transform: Streaming | Yes | Yes | | Einstein Studio: Connected Predictive AI Models (BYOM) | Yes | Yes | | Einstein Studio: Connected Large Language Models (BYO-LLM) | Yes | Yes | | Einstein Studio: Predictive AI Models Created from Scratch (No-code) | No | Yes | | Identity Resolution | Yes | Yes | | Private Connect | No | No | | Related List Enrichments Based on Identity Resolution | No | Yes | | Retrievers: Ensemble | No | No | | Retrievers: No-code | Yes | Yes | | Retrievers: Pro-code/ADL | No | No | | Salesforce Platform: Apex | Yes | Yes | | Salesforce Platform: Data Clean Room | Yes | Yes | | Salesforce Platform: Data 360 Enrichments - Copy Fields | No | No | | Salesforce Platform: Data 360 Enrichments - Related Lists | Yes | Yes | | Salesforce Platform: Flow | Yes | Yes | | Salesforce Platform: Lightning Web Components | Yes | Yes | | Search Index Configurations | Yes | Yes | | Segment: Real-Time | Yes | Yes | | Segment: Waterfall | Yes | Yes | | Standard Data Model (SSOT) | Yes | Yes | | Standard Segment: DBT | Yes | Yes | | Standard Segment: Visual Builder | Yes | Yes | | Unstructured Data Lake Object (DLO) | Yes | Yes | | Unstructured Data Model Object (UDMO) | Yes | Yes | | Web SDK | Yes | Yes | | Zero Copy Data Federation: BigQuery | Yes | Yes | | Zero Copy Data Federation: Databricks | Yes | Yes | | Zero Copy Data Federation: Redshift | Yes | Yes | | Zero Copy Data Federation: Snowflake | Yes | Yes | | Zero Copy Data Sharing: BigQuery | Yes | Yes | | Zero Copy Data Sharing: Databricks | Yes | Yes | **note:** Data Kit doesn't support unstructured data streams. **See Also** - [_Data Cloud Developer Guide_: Packages and Data Kits](https://developer.salesforce.com/docs/platform/data-cloud-dev/guide/packages-data-kits.html) - [First-Generation Managed Packages](https://developer.salesforce.com/docs/atlas.en-us.pkg1_dev.meta/pkg1_dev/sharing_apps.htm) - [Second-Generation Managed Packages](https://developer.salesforce.com/docs/atlas.en-us.pkg2_dev.meta/pkg2_dev/sfdx_dev_dev2gp.htm) - [_Connect REST API Developer Guide_: Data 360 Resources](https://developer.salesforce.com/docs/atlas.en-us.chatterapi.meta/chatterapi/connect_resources_customer_360_audiences_resources.htm) - [Build and Deploy Related List Enrichments from a Data 360 Sandbox](https://help.salesforce.com/s/articleView?id=data.c360_a_rl_enrich_deploy_sandbox.htmandtype=5)