Category: Amazon AppFlow

Organizations are rapidly adopting SaaS solutions to better serve their end customers using specialized software, but using SaaS services can lock key business data in different “data islands” that are hard to integrate. AWS recently announced the extension of support for Zendesk as both source and destination in Amazon AppFlow. This expanded integration enables customers to transfer data bi-directionally between Zendesk and other AWS and SaaS services in just a few clicks.

Many SaaS applications boast of microservices as a means to divide a monolithic architecture into easily manageable solutions. Sometimes these microservices have their own databases. To maintain data consistency across the system, you need to implement a data synchronization system between source and target data persistence layers. Learn how Trantor has developed a solution using Amazon AppFlow to easily synchronize the data between Salesforce and Amazon RDS for PostgreSQL in near real-time.

Customers often need to rely on third-party solutions to extract and transform data from sources such as Slack and Zendesk. Some vendors, however, do not support all of the sources and rely on multiple products to perform ETL and persist data into Snowflake. This post details how Amazon AppFlow simplifies the data transfer process, and how customers can use AWS PrivateLink for transmitting data over AWS rather than via the public internet.

Amazon AppFlow allows you to source data from AWS services and SaaS applications such as Salesforce, and aggregate them in AWS data lakes and data warehouses to draw unique data-driven insights. Learn how to set up Amazon AppFlow for Salesforce users and follow along with two use cases, one for updating Amazon Redshift with new Salesforce contact information, and another for creating new Salesforce lead records using campaign data stored in Amazon S3.