THE PROBLEM
Many organizations are still in the process of moving to the cloud, or implementing a hybrid or edge computing environment. Moving large amounts of data to the cloud is time-consuming and expensive. Organizations are also creating significant costs for storing unneeded data in the cloud.
OUR SOLUTION
Zantaz Data Optimization analyzes legacy on-premise data at exabyte scale. It first eliminates ROT [Redundant, Obsolete, and Trivial data], so that you are left only with a single copy of data that is critical to the organization [Golden Copy]. By reducing your data by as much as 60%, the cost of cloud migration, as well as cloud storage costs, are significantly reduced. The AI Data Organizer routes data based on your policy, use, compliance, and security demands to ensure only data with the proper security or use requirements is moved to the cloud.
Some data governance and security tools have minor re-tiering capabilities, but Zantaz Data Optimization has the ability to operate at scale as well as connect to a wide variety of on-premise legacy data as well as cloud destinations. It also understands the content of the enriched data as well as ownership so that it can properly route the data to the correct cloud destination.
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