AWS launched Amazon AppFlow, a brand new integration service that creates it easier for developers to transfer data between AWS and SaaS apps like ServiceNow, Google Analytics, Salesforce, Marketo, Slack, Snowflake, and Zendesk. Like similar services, including Microsoft Azure’s Power Automate, for instance, developers will trigger these flows supported specific events, at pre-set times or on-demand.
Unlike a few of its competitors, though, AWS is positioning this service a lot of as a data transfer service than the way to automatize workflows and whereas the data flow can be bi-directional, AWS’s announcement focuses totally on moving data from SaaS applications to different AWS services for any analysis. For this, AppFlow also includes a variety of tools for transforming the data as it moves through the service.
“Developers pay immense worth of your time writing custom integrations so they can pass data between SaaS applications and AWS services that so it can be analyzed; these can be costly and might often take months to finish,” said AWS principal advocate Martin Beeby in the last announcement. “If data, necessities modification, then expensive and complicated modifications have to be compelled to be created to the integrations. Firms that don’t have the luxury of engineering resources would possibly notice themselves manually importing and exporting data from apps, that is risking data leakage, time taking, and has the potential to introduce human error.”
Every flow (which AWS is defined as a call for a supply application to exchange data to a destination) prices $0.001 / run, though, in typical AWS fashion, there’s additionally price related to processing (starting at zero.02 per GB).
Our consumers tell us that they love having the ability to store, process, and analyze their data in AWS. They additionally use a spread of third-party SaaS applications, and that they tell us that it will be tough to manage the flow of data between AWS and these applications,” said Kurt Kufeld, vice chairman, AWS. “Amazon AppFlow provides an intuitive and straightforward way for customers to combine data from AWS and SaaS applications while not moving it across the general public web. With Amazon AppFlow, our customers collect and manage petabytes, even exabytes, of data across all of their applications – all while not having to develop custom connectors or manage underlying API and network connectivity.
At now, the number of supported services remains relatively low, with only 14 attainable sources and 4 destinations (Amazon Redshift and S3, similarly as Salesforce and Snowflake). Sometimes, betting on the source you choose, the only attainable destination is Amazon’s S3 storage service.
Over time, the number of integrations can surely increase, but for now, it sounds like there’s still quite a bit a lot of work to do for the AppFlow team to expand the list of supported services.
AWS has long left this market to the opposition, although it’s tools like AWS Step options for making serverless workflows across AWS services and EventBridge for connections apps. curiously, EventBridge presently supports a so much wider range of third-party sources, however, because the name implies, its focus is a lot of on triggering events in AWS than moving information between applications