We performed a comparison between CA Vtape Virtual Tape System (CA Vtape) and IBM Spectrum Discover based on real PeerSpot user reviews.
Find out in this report how the two Storage Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
CA Vtape Virtual Tape System (CA Vtape) is a completely software-based virtual tape system designed to help you improve tape utilization and processing performance.
It redirects tape mounts to direct access storage device (DASD) virtual volumes to accommodate instantaneous mounts and instant recalls from DASD.
Using existing tape and mainframe hardware, CA Vtape can maximize your current capital investments while eliminating or defraying further hardware purchases. This mainframe solution can help reduce bottlenecks in your enterprise, decrease floor space requirements and increase processing performance with:
Real-time tape monitoring
IBM System z® Integrated Information Processor (zIIP) virtualization and compression processing
IBM Spectrum Discover is modern metadata management software that provides data insight for petabyte-scale unstructured storage. The software easily connects to IBM Cloud Object Storage and IBM Spectrum Scale to rapidly ingest, consolidate and index metadata for billions of files and objects. It provides a rich metadata layer that enables storage administrators, data stewards and data scientists to efficiently manage, classify and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk and accelerates large-scale analytics to create competitive advantage and speed critical research.
CA Vtape Virtual Tape System (CA Vtape) is ranked 19th in Storage Management while IBM Spectrum Discover is ranked 12th in Storage Management. CA Vtape Virtual Tape System (CA Vtape) is rated 0.0, while IBM Spectrum Discover is rated 0.0. On the other hand, CA Vtape Virtual Tape System (CA Vtape) is most compared with , whereas IBM Spectrum Discover is most compared with Dell DataIQ.
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