Can Microsoft SQL Server and Amazon S3 talk in both directions?

Yes. Build one flow that starts in Microsoft SQL Server and acts in Amazon S3, and a second that runs the other way, in the same project.

On our EU cloud in Frankfurt, or self-hosted on your own infrastructure with Docker or Kubernetes. The MIT-licensed core means there is always an exit.

Connect Microsoft SQL Server to Amazon S3

Move data between Microsoft SQL Server and Amazon S3 the moment it happens. Build the flow visually, or let AI write it for you, then run it on our cloud or your own infrastructure.

Start building Explore Microsoft SQL Server Explore Amazon S3

Microsoft SQL Server triggers: 1
Microsoft SQL Server actions: 6
Amazon S3 triggers: 1
Amazon S3 actions: 8

Automation ideas

What you can build with Microsoft SQL Server and Amazon S3

A few flows teams run between Microsoft SQL Server and Amazon S3. Use one as a starting point, or build your own from scratch.

New or Updated Row in Microsoft SQL Server creates Upload File in Amazon S3
Fires when a row is added to, or changed in, a table
New or Updated File in Amazon S3 creates Find Rows in Microsoft SQL Server
Triggers when you add or update a file in your bucket. The bucket/folder you choose must not contain more than 10,000 files.
New or Updated Row in Microsoft SQL Server creates Read File in Amazon S3
Fires when a row is added to, or changed in, a table
New or Updated File in Amazon S3 creates Insert Row in Microsoft SQL Server
Triggers when you add or update a file in your bucket. The bucket/folder you choose must not contain more than 10,000 files.
New or Updated Row in Microsoft SQL Server creates Generate signed URL in Amazon S3
Fires when a row is added to, or changed in, a table
New or Updated File in Amazon S3 creates Update Rows in Microsoft SQL Server
Triggers when you add or update a file in your bucket. The bucket/folder you choose must not contain more than 10,000 files.