Solving Secondary Data Sprawl
Secondary data consumes about 80% of enterprise storage and imposes a huge burden on enterprise IT budgets. Secondary data is traditionally stored on a complicated patchwork of point appliances for backups, files, objects, test/dev copies, and analytics data. This infrastructure is fragmented, complex to manage, and inefficient.Cohesity's Hyperconverged Data Platform
Cohesity DataPlatform is the only hyperconverged platform designed to consolidate and manage all your secondary data at web scale – including backups, test/dev copies, files, analytics data, and objects. DataPlatform provides distributed storage with best-in-class space efficiency, efficient copy data management, and native cloud integration. The platform incorporates data management functions for converged data protection, in-place analytics, and copy data management to automate DevOps workflows. (Get Dell-EMC Battlecard)-
Simplicity
Eliminate secondary storage silos and consolidate backups, files, objects, test/dev, and analytics data
ControlControl all your secondary data operations with converged data protection, automated DR and cloud migration, and DevOps automation.
Cost ReductionReduce your secondary storage TCO. Cut hardware requirements, eliminate software licenses, and simplify management.
Cohesity transforms this complex infrastructure with a simple, elegant solution. Cohesity DataPlatform eliminates secondary storage silos with a single, purpose-built hyperconverged platform. The Cohesity solution enables organizations to cut their total cost of ownership by 80% or more compared to traditional solutions.
Cohesity: 2018 Gartner Peer Insights Customers' Choice
Cohesity was recently named a 2018 Gartner Peer Insights Customers' Choice for data center backup and recovery software. Cohesity's peer insights score came in at a 4.8 out of 5. This was base on 84 reviews from verified professionals that are using the product. (Read The Reviews)
Case Studies
Thekking Case Study – Thekking chose Cohesity because of its simple scale out design, where compute power behind the deduplication […]
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