{"id":10024,"date":"2017-11-22T19:33:40","date_gmt":"2017-11-22T19:33:40","guid":{"rendered":"https:\/\/rsoftsolution.com\/blog\/hyper-convergence-backup-software-scale-out-backup-nodes.html"},"modified":"2017-11-22T19:33:40","modified_gmt":"2017-11-22T19:33:40","slug":"hyper-convergence-backup-software-scale-out-backup-nodes","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/hyper-convergence-backup-software-scale-out-backup-nodes.html","title":{"rendered":"Hyper-convergence + backup program = scale-out backup nodes"},"content":{"rendered":"
\n

Hyper-converged backup suppliers<\/h3>\n

We have seen a series of startups deliver products in a hyper-converged backup space. Offerings are typically hardware\u2013based, including support for products from a vital server suppliers.<\/p>\n

Alternatively, there are software-only products that residence bend bureau or open cloud environments.<\/p>\n

Many suppliers concede their hardware and program offerings to be put together as an integrated distributed backup platform.<\/p>\n

Cohesity<\/strong><\/p>\n

Cohesity<\/a> offers a operation of hardware nodes, possibly unbranded or in partnership with HPE and Cisco. Solutions scale from a entry-level C2105, with 6TB of spinning hoop HDD and 800GB peep ability per node, to a C2605 with 30TB HDD and 1.6TB SSD of storage space.<\/p>\n

Cohesity<\/a> also provides DataPlatform Virtual Edition<\/a> for smaller environments but dedicated hardware. There is also a cloud edition<\/a> for handling open cloud instances or replicating information from on-premise infrastructure to open cloud storage.<\/p>\n

Commvault<\/strong><\/p>\n

Commvault<\/a> recently announced a scale-out<\/a> apparatus resolution called HyperScale<\/a>. This encompasses a stream Commvault Data Platform program with a scale-out record complement formed on GlusterFS.<\/p>\n

Per-node storage capacities scale from 16TB to 40TB of hoop capacity, with an additional 150GB of peep storage. HyperScale is also accessible as program or deployable on Cisco\u00a0Unified Computing System<\/span>\u00a0(UCS) hardware.<\/p>\n

Rubrik<\/strong><\/p>\n

Rubrik<\/a> offers a operation of hardware appliances that scale from a three-node r334 entry-level complement to high-end r3410 with 4 nodes. Storage capacities start during 36TB tough hoop expostulate (HDD<\/a>) and 1.2TB solid-state expostulate (SSD<\/a>) in a r334 to 120TB HDD and 1.6TB SSD in a r3410.<\/p>\n

For business that cite to use existent server partner technology, solutions are accessible that use HPE, Cisco and Lenovo hardware.\u00a0<\/p>\n

Rubrik also offers a software apparatus implementation<\/a> that can be used in smaller bend offices and a open cloud doing that runs in Amazon Web Services (AWS), Microsoft Azure and Google Cloud.<\/p>\n<\/section>\n

Article source: http:\/\/www.computerweekly.com\/feature\/Hyper-converged-backup-software-scale-out-backup-nodes<\/p>","protected":false},"excerpt":{"rendered":"

Hyper-converged backup suppliers We have seen a series of startups deliver products in a hyper-converged backup space. Offerings are typically hardware\u2013based, including support for products from a vital server suppliers. <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-10024","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t