Reduce your Amazon AppFlow
costs with these tips

These proven tips can save you up to 30% on AWS costs!

* Savings are averaged out across customers & services

Amazon AppFlow cost saving tips Optimize your Amazon AppFlow costs with these tips


Optimize Data Flows

Carefully plan your data flows. Minimise data transfer by only moving necessary data, use filters to exclude unnecessary data and batch data transfers to reduce calls, lowering costs.


Schedule Wisely

Efficiently schedule your data flows. If real-time data transfer isn’t urgent, arrange data flows during off-peak hours or less frequently. This can lower costs, particularly with volume-based pricing.


Monitor Usage

Regularly monitor and review your Appflow usage. Amazon Appflow provides metrics and logs to help understand usage patterns. By analysing this data, you can identify and rectify inefficiencies or unnecessary data transfers, reducing costs.

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“We found that our AWS costs were spiraling out of control. Following ElasticScale their advice we were able to save 60% on costs without compromising performance!”

John Schrijvers
John Schrijvers
CEO of Dataswitcher

Other AWS cost saving tips We also have tips for the following AWS services

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About Amazon AppFlow Service information & pricing

About Amazon AppFlow

Amazon AppFlow, a fully managed integration service, facilitates data transfer between SaaS applications and AWS services. It supports automation of data flows and large-scale data transfer. Users can set up bi-directional data flows, run them either on schedule or according to business events. AppFlow streamlines data prep with transformations, partitioning, aggregation, and enables automation of data cataloging for easy discovery and sharing across AWS analytics and machine learning services.

↗ More information on AWS website

Amazon AppFlow pricing

Amazon AppFlow is an economical application integration solution. It has no upfront fees, only charging for the number of flow runs and volume of data processed. The cost also includes checking for new data, with additional charges applied for reading/writing from AWS services and using the Key Management Service.

↗ More information on AWS website

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