This content originally appeared on DEV Community and was authored by Kamali Sethurajan
Service Overview
Service Name: Amazon Appflow
Logo:
Tagline: securely transfer data between software as a service (SaaS) and AWS services.-
Key Features
Top Features: Flexible data flow triggers Native SaaS integrations High-scale data transfer Secure and Compliant Data Transfers Technical Specifications: Regions Supported: Available in multiple AWS regions globally. Data Limits: Up to 100 GB per flow. Data Transformation: Inline transformations for real-time adjustments.
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Use Cases
Data transfer: Transfer data between AWS services and SaaS applications like Salesforce, Marketo, Slack, and ServiceNow Data mapping: Map fields in source objects to fields in destination objects Data automation: Automate data transfers without writing code Data security: Transfer data securely between AWS and SaaS applications
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Pricing Model
Amazon Appflow pricing is based on: Flow Runs: Number of executed flows. Data Volume: Amount of data processed (charged per GB).
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Comparison with Similar Services
Competitors : Google Cloud Dataflow focuses on real-time and batch data processing but lacks Appflow's simplicity for SaaS integration.
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Benefits and Challenges
Advantages: Fully managed integration, Simplify and automate data preparation, There's basically no limit to how much you can use. Challenges: Learning Curve , Connector Limitations.
7.Real-World Example or Case Study
Marketing Data Integration
A global e-commerce company uses Amazon Appflow to Synchronize Google Ads data with Amazon Redshift. Automate daily data transfers for real-time performance insights.
This content originally appeared on DEV Community and was authored by Kamali Sethurajan

Kamali Sethurajan | Sciencx (2025-01-23T03:17:47+00:00) AMAZON APPFLOW. Retrieved from https://www.scien.cx/2025/01/23/amazon-appflow/
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