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How U.S. Bank migrated 119 TB from Oracle Exadata to Amazon RDS for Oracle

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This article describes how U.S. Bank migrated 119 TB across four Oracle Exadata databases to Amazon RDS for Oracle using an automated, config-driven pipeline.

  • Used Oracle Cross-Platform Transportable Tablespaces (XTTS) for block-level physical data migration while source remained operational
  • AWS DataSync achieved 80% in-flight compression, providing 4-5x effective bandwidth multiplier on bandwidth-constrained Direct Connect link
  • Amazon EFS served as shared staging layer between DataSync and RDS import, eliminating extra staging steps
  • Completed initial 119 TB baseline copy in 7 days with average 4-hour cutover downtime per database and zero data loss
  • Addressed challenges including 16 TB bigfile tablespace limits, HCC decompression, timezone mismatches, and post-migration performance tuning
  • Config-driven orchestration with 18 concurrent XTTS workers enabled fully automated, idempotent pipeline requiring minimal manual intervention

The pattern demonstrates that large-scale Oracle migrations are achievable with proper strategy, native tooling, and automation, scaling from single databases to full data center exits.

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