Amazon Integration
Ingest, connect, and share your data between Amazon and Data Cloud. Data Cloud offers these integrations with Amazon.
In documentation and in-app, integrations can be listed as either Amazon or AWS.
Use the AWS Athena connector to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: Amazon (AWS) Athena Connector
Use PostgreSQL connectors to ingest data stored in a PostgreSQL database into Data Cloud. Tap into web, mobile, and geospatial data, and map it to the Data Cloud standard data model objects (DMO) to unify data across all your connected sources.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: PostgreSQL Connectors
Use the MariaDB connectors to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: MariaDB Connectors
Use the MySQL connectors to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: MySQL Connectors
Use the AWS RDS Oracle connector to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: Amazon (AWS) RDS Oracle Connector
Use PostgreSQL connectors to ingest data stored in a PostgreSQL database into Data Cloud. Tap into web, mobile, and geospatial data, and map it to the Data Cloud standard data model objects (DMO) to unify data across all your connected sources.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: PostgreSQL Connector
Use the SQL Server connectors to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: SQL Server Connector
Amazon Ads for Marketing Intelligence (MI) connector retrieves delivery and conversion data for your Amazon campaigns, including impressions, clicks, and attributed conversions at the campaign and ad group level. Gain insights into campaign performance, optimize audience targeting, and refine your advertising strategy with data-driven decisions.
- Release Status: GA
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: Amazon Ads for MI Connector
Use the MySQL connectors to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: MySQL Connectors
Amazon Demand-Side Platform (DSP) for Marketing Intelligence (MI) connector retrieves campaign performance and conversion data, including impressions, clicks, video views, and conversions. Leverage Amazon’s first-party data for advanced audience targeting and optimized ad strategies.
- Release Status: GA
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: Amazon DSP for MI Connector
Use the AWS DynamoDB connector to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: Amazon DynamoDB Connector
Use the Amazon Kafka connector to map your Amazon Managed Streaming Kafka Data Streams to the Data Cloud standard data model objects (DMOs) to unify data across all your connected sources. You can ingest event and profile data.
- Release Status: GA
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Streaming Ingest
Get Started: Amazon Kafka Connector
Use the Amazon Kinesis connector to map your AWS Kinesis Data Streams to the Data Cloud standard data model objects (DMO) to unify data across all your connected sources. You can ingest event and profile data.
- Release Status: GA
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Streaming Ingest
Get Started: Amazon Kinesis Connector
Use the Amazon Marketplace connector to ingest data into Data Cloud.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest
Get Started: Amazon Marketplace Connector
Use the Amazon Redshift connector to ingest data into Data Cloud.
- Release Status: GA
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest, Zero Copy (Query Fed)
Get Started: Amazon Redshift Connector
You can retrieve customer, user-defined, or unstructured data objects from an AWS S3 bucket with Amazon S3 Storage Connector. Data Cloud reads from your S3 bucket and automatically retrieves future data sets from the directory according to the defined schedule. For unstructured data, records are imported by way of file notifications.
- Release Status: GA
- Data Flow: Bidirectional
- Data Type: Structured, Unstructured
- Connection Method: Batch Ingest
Get Started: Amazon S3 Connector
Use the Databricks connectors to ingest data into Data Cloud or run federated queries on Data Cloud using Lakehouse Federation.
- Release Status: Beta
- Data Flow: Data In
- Data Type: Structured
- Connection Method: Batch Ingest, Zero Copy (Query Fed)
Get Started: Databricks Connector
- Salesforce Help: Add a Private Connect Network Route for Amazon MSK
- Salesforce Help: Amazon Ads and Amazon Marketing Cloud Insights in Activation
- Salesforce Help: Create an External Platform Activation Target
- Salesforce Help: Find Data Cloud Segments in File Storage Platforms
- Salesforce Help: Requirements for External Activation Targets
- Salesforce Help: Share Data with Amazon Redshift
- Salesforce Help: Use Amazon SageMaker Models
- Salesforce Help: VPC Interface Endpoints for Amazon Kinesis Connections