Data Sheet & Tech Brief Hybrid Cloud File Transfers — Seamlessly Integrate Your Cloud File Transfers Into Your Scheduling Workflows

Manage file transfers in hybrid IT environments (on-prem, cloud, and container) with no ramp-up time or cost-intensive hardware investments.

Datasheet Hybrid Cloud File Transfer Screenshot Download

Add This To Your Technical Library

Gain control over your hybrid IT environment while you improve security, visibility, and performance. The hybrid cloud file transfer solution within the Stonebranch Universal Automation Center allows you to centrally manage and move files across your local server (Windows, Linux), mainframe (z/Linux, z/OS) and Storage Area Network (SAN), as well as your AWS, Azure, and Google Cloud storage services. Download the datasheet to learn more.

Key features:

  • Support Amazon S3, Azure and Google Cloud web-based scheduling
  • Coordinate cloud file transfers in any automation workflow
  • Seamlessly integrate mainframe/Linux and Windows file transfers
  • Integrate third-party applications

Further Reading

Stonebranch Online 2021 - Week 3 Highlights

Stonebranch Online 2021: Week 3 Highlights

Week three of Stonebranch Online 2021. A recap of Stonebranch Online, including customer success stories from BP and Makedonski Telecom.

Header card EMA Analyst Report for Workload Automation Q4-2021

EMA Radar™ for Workload Automation (WLA) Q4:2021. Report Summary and Profile

EMA Workload Automation (WLA) Radar Report Q4:2021 - Focusing on digital transformation, DevOps, and the latest trends in the WLA and Job Scheduling space

Stonebranch Online 2021 - Week 2 Highlights

Stonebranch Online 2021: Week 2 Highlights

Week two of Stonebranch Online 2021 offered two webinars: one on orchestrating data pipelines and the other on multi-cloud environments. Both sessions featured…

Using DataOps Methodologies to Orchestrate Your Data Pipelines Header purple

Eckerson Group: Using DataOps Methodologies to Orchestrate Your Data Pipelines

Learn about emerging DataOps methodologies to develop and deploy end-to-end data flows that orchestrate your big data pipelines.