TL;DR: Deep Archive is where data goes to retire: $0.00099/GB-month, about 23× cheaper than S3 Standard, same 11-nines durability. Retrieval takes 12–48 hours and costs money, and deleting before 180 days bills the full 180 anyway — so this is strictly for "write once, read almost never" data: compliance retention, legal holds, final backups of decommissioned systems.
The numbers
- Storage: $0.00099/GB-month (vs $0.023 Standard — a 96% cut)
- Retrieval: $0.02/GB standard (~12 h) or $0.0025/GB bulk (up to 48 h)
- Minimum storage duration: 180 days — early deletion bills the remainder
- Durability: 99.999999999%, replicated across 3+ AZs, same as Standard
Worked example — 50 TB of compliance logs kept 10 years: $138,000 in Standard vs $5,940 in Deep Archive. Retrieving the entire 50 TB once would add ~$1,000 — still a ~$131,000 win.
Do this
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Identify true cold data: compliance/legal retention, closed-project archives, "final snapshot before decommission" buckets. The test: if I needed this, could I wait two days?
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Transition by lifecycle rule, not manual moves:
aws s3api put-bucket-lifecycle-configuration --bucket YOUR-BUCKET \ --lifecycle-configuration '{"Rules":[{"ID":"deep-freeze","Status":"Enabled", "Filter":{"Prefix":"archive/"}, "Transitions":[{"Days":90,"StorageClass":"DEEP_ARCHIVE"}]}]}' -
Tag and name objects properly before archiving. Three years from now someone will need one document out of 80,000 objects — without tags/prefixes you'll pay to restore everything to find it.
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Know the two-step restore before you need it:
restore-objectcreates a temporary Standard-tier copy (default lifetime 1 day) after the 12–48 h wait; download it during that window or pay to restore again. Use bulk retrieval for anything big and non-urgent.
Gotchas
- The 180-day minimum makes it actively expensive for short-lived data — a 1 TB experiment deleted after 30 days is billed for six months.
- Restores are two-step and temporary. The restored copy expires; grab what you need while it's staged.
- Frequent access inverts the math. Teams that archived "everything older than 30 days" and then kept querying it saw bills go up (retrieval fees) and productivity drop (12-hour waits).
- Retrieval fees on mass restores are real: an account-wide legal-discovery pull of 50 TB is ~$1,000 (standard) — budget for it, don't be surprised by it.
Skip this if
- You might need the data back in under 12 hours — use Glacier Flexible Retrieval (minutes–hours) or Glacier Instant Retrieval (milliseconds).
- Access is unpredictable — S3 Intelligent-Tiering with archive tiers gets you most of the savings without stranding hot data.
- The data lives less than ~6 months, or the dataset is small enough that the savings don't cover the operational care.