Next Webinar on Sept. 22: How Nedbank Connected Their Mainframe to the Cloud with Model9 & Microsoft Azure
Model9 and Google Cloud Platform
Manage your mainframe data assets in Google Cloud Platform and use them with GCP applications.
Manage your data quickly and easily. Model9 eliminates the need for mainframe-specific experience, and discovers all mainframe data assets automatically for delivery to GCP. You can then access them via Google Cloud Platform Applications.
Model9 lets you use GCP for cloud backups and disaster recovery, eliminating the need for your legacy mainframe backup system. Eliminate your legacy VTL solution and migrate all of your mainframe tape data to GCS.
Transform mainframe formatted data into open formats on the GCP via Model9’s lightweight software agent. Once the data has been moved and transformed in the GCP, without consuming mainframe CPU, it can be integrated with any downstream application including BigQuery, Bare Metal, Cloud SQL from a unified repository.
Model9 cloud data manager for mainframe delivers defined data to a target in GCP, which can then be transformed into open formats. Model9 will automatically discover, map, and list all SGs, volumes, and datasets available for migration. You can also directly migrate your existing archives to GCP – making it a data-first approach that accelerates your path to Google Cloud Platform adoption.