AWS, zCase Study

Amazon Quick Starts for data sync between RDS and Salesforce using Appflow

Trantor deployed Quick Starts for a new virtual private cloud with default parameters builds the Amazon AppFlow environment in the AWS Cloud.


This Quick start was developed for the leading innovative financial solutions provider. They provide a wealth of financial choices for franchise entrepreneurs at every stage of their development, with a diverse and growing network of capital providers and financing solutions, including growth capital, SBA and conventional loans, and equipment financing.


This Quick Start deployment guide walks you through deploying Amazon AppFlow on the Amazon Web Services (AWS) Cloud for unidirectional data synchronization from Salesforce to Amazon Relational Database Service (Amazon RDS) PostgreSQL. This deployment requires extensive knowledge of AWS and Linux administration.


This Quick Start is for users who want an integration platform as a service (iPaaS) hosted on the AWS Cloud. Users can then deploy Amazon AppFlow through AWS CloudFormation.


  • Dependencies on third-party tools.
  • Asynchronous replication of data from source to target.
  • The cost associated with the existing solution.
  • Low ROI, even for a few tables being synced.
  • No option of customizing field-level synchronization.
  • No insights into error logs being generated for the process.


Deploying this Quick Start for a new virtual private cloud (VPC) with default parameters builds the following Amazon AppFlow environment in the AWS Cloud.

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As shown in Figure 1, the Quick Start sets up the following:


  • A highly available architecture that spans multiple Availability Zones.*
  • A VPC configured with public and private subnets, according to AWS best practices, to provide you with your own virtual network on AWS.*
  • In the public subnets, a managed network address translation (NAT) gateway allows outbound internet access for resources in the private subnets.*
  • In the private subnets, an Amazon RDS PostgreSQL database.
  • Amazon Elastic Container Registry (Amazon ECR) to store Docker images.
  • Amazon Simple Storage Service (Amazon S3) to store Salesforce object data.
  • An Amazon AppFlow flow, created by an AWS Lambda function, to transfer Salesforce data to Amazon RDS and Amazon S3.


* The template that deploys the Quick Start into an existing VPC skips the components marked by asterisks and prompts you for your existing VPC configuration.


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As shown in Figure 2, this Quick Start sets up the following workflow:


  • Salesforce object data is transferred to Amazon AppFlow.
  • Amazon AppFlow relays Salesforce data to Amazon S3.
  • Amazon S3 relays object data to AWS Lambda, which sits inside a private subnet of your VPC.
  • AWS Lambda transfers your Salesforce data to Amazon RDS.


Project Goals

  • Data Synchronization between Salesforce and AWS RDS.
  • High-availability and fault-tolerant solution.
  • Highly optimized and cost-effective solution.
  • Highly automated solution.

Next Steps

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