data-durability · unknown · also durability

Data durability

Data durability is the ability of a storage system to preserve data over a stated period and within a specified failure model.

Related Observatory article: Data durability on hesela.com

Preserving data and maintaining access are different goals. An intact copy can outlive a failed access path without being immediately reachable by its host. The tolerated failures and recovery mechanism must be specified. [1]

Object-storage durability targets can be published alongside separate availability and zone-coverage properties. A target is not an observed loss sample, and equal target percentages do not establish equal disaster coverage. [2]

When comparing estimates, record whether the event is first loss or lost volume, and whether the denominator is objects, bytes or systems. The companion analysis separates those questions from access-error arithmetic.

Relations

related
Storage availability, Mean time to data loss (MTTDL), Normalized magnitude of data loss (NOMDL), Failure domain

Citations

  1. SNIA: NVM PM Remote Access for High Availability, May 2019, section 4.1, pp. 13-15 (non-normative whitepaper) (accessed 2026-10-22)
  2. AWS S3 User Guide: storage-class design targets and zone coverage (accessed 2026-10-22)
Sources & caveats
  • Conceptual definition; not a claim of measured reliability. The SNIA source discusses persistent-memory recovery, not a certification for all storage systems.

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Hesela team. Data durability. Hesela. 2026-10-22. https://hesela.dev/terms/data-durability/