Amazon AppFlow vs. Custom Connectors (Python/Java SDK)

Learn how to ingest SaaS data into AWS efficiently. This guide compares Amazon AppFlow (a fully managed integration service) against building Custom Connectors using the AppFlow SDK.

We examine the technical limitations of AppFlow, including record quotas and buffer sizes, and demonstrate how Custom Connectors provide the flexibility needed for unsupported APIs and complex transformations. Whether you are a Data Engineer or a Solution Architect, this video provides the framework to decide between configuration and code.

Key Topics:

AppFlow Benefits: Low code, pay-as-you-go pricing, and automated encryption.

Real-world Use Case: Ingesting Salesforce data into an S3 Data Lake for Athena analysis.

Limitations: Understanding quotas in ServiceNow, Marketo, and Google Analytics.

Custom SDK: Using Python and Java to handle custom authentication and pagination.

Resources:

Learn more about the AppFlow Custom Connector SDK.

Check AWS documentation for specific connector quotas.

#AWS #DataIntegration #AppFlow #Python #DataLake #SaaS

Видео Amazon AppFlow vs. Custom Connectors (Python/Java SDK) канала AWS Explainers