Data Availability :

Data availability is a term used to describe products and services that ensure that data continues to be available at a required level of performance in situations ranging from normal through "disastrous. Data availability is achieved throughredundancyinvolving where the data is stored and how it can be reached.

  • Global Scalability - It ensures that data is available in all locations on demand.
  • Storage Management - Design managers can reduce costs through a tiered storage mechanism
  • Disaster recovery - Redundant configurations with multiple peers in different regions across the WAN. In the event of a total loss scenario in the local data center, the remote data center can immediately take over operation without the need for recovery from tape or other archive.
  • High availability - High availability, or automatic failover, via peer-to-peer redundant configurations, allows one server to automatically take over from the other in the event of hardware or other failures.
  • Back-up Integration - With hot backup, the design database is not required to be in a quiescent state for it to be backed up, providing non-stop availability of the repository across multiple time zones without purchasing special hardware or software.

  • Backup
  • Replication
  • Archival
  • SAN / NAS
  • Deduplication
  • Tape Technologies
  • Druva
  • Commvault
  • EMC
  • Isilon
  • Tandberg
  • Quest