An estimated 90% of global data is, emphasizing the need for efficient storage management. UltiHash tackles this challenge with its byte-level deduplication algorithm, designed to minimize storage volumes by identifying and eliminating redundant data across all objectshis method can reduce overall storage needs by up to 60%, enabling organizations to scale their data without proportionally increasing capacity requirements.
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The deduplication process works by splitting objects into fragments of varying sizes. If a fragment already exists within the system, it isn’t stored again, eliminating unnecessary duplication across datasets. This ongoing comparison ensures that storage resources are utilized efficiently while maintaining data integrity.