Gathering insights from data is a more effective process if that data isn’t fragmented across multiple systems and data stores, whether on premises or in the cloud. Amazon AppFlow provides bidirectional data integration between on-premises systems and applications, SaaS applications, and AWS services. It helps customers break down data silos using a low- or no-code, cost-effective solution that’s easy to reconfigure in minutes as business needs change.
Today, we’re pleased to announce the addition of 22 new data connectors for Amazon AppFlow, including:
In total, Amazon AppFlow now supports over 50 integrations with various different SaaS applications and AWS services. This growing set of connectors can be combined to enable you to achieve 360 visibility across the data your organization generates. For instance, you could combine CRM (Salesforce), e-commerce (Stripe), and customer service (ServiceNow, Zendesk) data to build integrated analytics and predictive modeling that can guide your next best offer decisions and more. Using web (Google Analytics v4) and social surfaces (Facebook Ads, Instagram Ads) allows you to build comprehensive reporting for your marketing investments, helping you understand how customers are engaging with your brand. Or, sync ERP data (SAP S/4HANA) with custom order management applications running on AWS. For more information on the current range of connectors and integrations, visit the Amazon AppFlow integrations page.
Amazon AppFlow and AWS Glue Data Catalog
Amazon AppFlow has also recently announced integration with the AWS Glue Data Catalog to automate the preparation and registration of your SaaS data into the AWS Glue Data Catalog. Previously, customers using Amazon AppFlow to store data from supported SaaS applications into Amazon Simple Storage Service (Amazon S3) had to manually create and run AWS Glue Crawlers to make their data available to other AWS services such as Amazon Athena, Amazon SageMaker, or Amazon QuickSight. With this new integration, you can populate AWS Glue Data Catalog with a few clicks directly from the Amazon AppFlow configuration without the need to run any crawlers.
To simplify data preparation and improve query performance when using analytics engines such as Amazon Athena, Amazon AppFlow also now enables you to organize your data into partitioned folders in Amazon S3. Amazon AppFlow also automates the aggregation of records into files that are optimized to the size you specify. This increases performance by reducing processing overhead and improving parallelism.
You can find more information on the AWS Glue Data Catalog integration in the recent What’s New post.
Getting Started with Amazon AppFlow
Visit the Amazon AppFlow product page to learn more about the service and view all the available integrations. To help you get started, there’s also a variety of videos and demos available and some sample integrations available on GitHub. And finally, should you need a custom integration, try the Amazon AppFlow Connector SDK, detailed in the Amazon AppFlow documentation. The SDK enables you to build your own connectors to securely transfer data between your custom endpoint, application, or other cloud service to and from Amazon AppFlow‘s library of managed SaaS and AWS connectors.
Source: AWS News