

Just referenced back to the one saved copy. With data deduplication, only one instance of the attachment is actually stored each subsequent instance is Up or archived, all 100 instances are saved, requiring 100 MB storage space. For example, a typical email system might contain 100 instances of Deduplication is able to reduce the required bandwidth and storage capacity, since only the unique data is stored. Two of the main reasons for that increase are the proliferation ofĮver be needed. However, indexing of all data is still retained should that dataĬhange in Storage Requirements Over Past 5 Years Only one copy (or ‘single instance’) of the data to be stored. Is driving a significant rise in bandwidth and storage costs.ĭeduplication algorithms identify and delete duplicate, leavingĪ survey by AFCOM (data center trade organization) found Increase in Corporate Data is Causing a Sharp Rise in Storage and Bandwidth Costsĭata Deduplication Provides Significant Savings in Storage and Bandwidth CostsĬorporate data has increased sharply the past 5 years, whichĭata deduplication refers to the elimination of redundant data. Druva takes a unique approach to data deduplication technology to help customers address these data challenges. Data deduplication offers enterprises the opportunity to dramatically reduce the amount of storage and bandwidth required for backups and other data storage and access workloads. These factors have a significant impact to storage and bandwidth costs. Growth of data in the enterprise is currently doubling at a pace of every 14 months, the location of data has become more dispersed, and the linkage between data sets more complex. Introduction Enterprises are seeking new ways to keep up with the challenges of managing and protecting their rapidly expanding and distributed corporate data-especially data that resides on laptops, mobile devices (collectively known as endpoints) and remote office servers. 9 Bandwidth and Storage Savings from Druva’s Deduplication.10 About Druva.11 9 Unified Deduplication Across Backup and File Sharing. 9 High Performance and Scalable Deduplication. 8 Object-based Application-Aware Deduplication. 5 Understanding Druva’s Industry-leading Deduplication Technology. 4 File versus Sub-file Level Data Deduplication. 3 Different Methods for Data Deduplication. 3 Data Deduplication Provides Significant Savings in Storage and Bandwidth Costs.

3 Increase in Corporate Data is Causing a Sharp Rise in Storage and Bandwidth Costs. This whitepaper explains deduplication techniques and describes how Druva’s norit parique et salomin taren ilat mugatoque industry-leading technology saves storage and bandwidth by up to 80% Deduplication and Its Application to Corporate Data
