Use Mass Ingestion Databases to propagate data from common relational source databases to multiple types of targets, including cloud-based targets and targets that can handle big data at scale. A database ingestion task can perform initial load, incremental load, and combined initial and incremental load operations.

Use this quick start to create a streaming ingestion task, deploy the task, and then monitor the associated job.

This article describes how to set up Mass Ingestion Databases and create your first database ingestion job to replicate data from an Oracle source to a Snowflake target.

This article shows how to set up a Mass Ingestion Database job to replicate data from a Db2 source to a Snowflake Data Cloud target using an incremental load operation.

This article describes how to set up Mass Ingestion Databases and create a database ingestion job that performs an initial load of SQL Server data to an Amazon Redshift target and then replicates the incremental CDC changes to the target.

When you run mass ingestion tasks, you can tune multiple factors such as hardware, database, Amazon EC2, Secure Agent, and task parameters that impact the connector performance. This article describes general reference guidelines to help you tune these parameters before you configure mass ingestion tasks in Cloud Data Integration connectors.

This article describes how to set up Mass Ingestion Applications and create your first application ingestion job to replicate data from a Salesforce source to a Snowflake target.