Redirect Tape Storage Operations to the Cloud – Automatically. No JCL Conversion Required.
April 5, 2021
Model9, a pioneer in cloud data management for mainframe, announced the release of Model9 Cloud Data Manager for Mainframe v2.0.
Version 2.0 is highlighted by the ability to easily write and read data sets directly between the mainframe and the cloud.
As with previous releases, Model9’s software is designed to bridge the gap between mainframes and cloud, replace costly tapes and VTLs with hybrid cloud storage, and allow data analytics tools to directly process previously inaccessible mainframe data.
Some of the major innovations in version 2.0 include:
Cloud Data Sets. Write/read mainframe data sets directly to and from the cloud, without converting tape-oriented applications. Operations on tape storage are automatically redirected to the cloud – without rewriting JCL. This software-only solution performs the data transfer directly, requiring no interim disk space on DASD, and enables customers to end reliance on physical or virtual tape hardware. The Cloud Data Sets feature also eliminates the need for tape management software.
Directed availability of the Cloud Data Sets feature is offered to existing customers.DB2 Transformation. Model9 now supports the conversion of DB2 image copies, into standard formats for use in cloud-based analytics and other applications. Output formats include JSON, CSV, binary, and compressed formats.
Infrequent-Access Cloud Storage Tiers. Version 2.0 provides support for lower-cost cloud storage services on AWS and Azure that are intended to provide occasional access to the data.
User Experience Improvements. Version 2.0 provides users with ease-of-use and performance enhancements, such as improved search capabilities, granular controls for setting retention periods of archived data sets, and clock resolution between the agent time on the mainframe and the UTC time in the cloud.
Official support for Scality RING software-defined native file and object storage solution for large scale, on-premises storage and management of unstructured data, featuring compatibility with the Amazon S3 API.
