~/talk

Keynote: From RAP to Snowflake - A Look at 50 Years of SQL DB Scalability

Talkat PGConf.dev 2025 · 2025-05-13..05-16· [databases]
links:none on file
slides:none on file

A 50‑year retrospective traces early database machines (RAP, Chasm, Raries) as academic prototypes that mostly fail, the first parallel systems (Direct runs but hits n^2 messaging), and Gamma which applies Grace hash join to parallel shuffles and achieves real speedup (by 1986 joins of ~1,000,000×100,000 rows). Teradata becomes a successful appliance (customers storing ~10 PB on 256 nodes by 2011), the shared‑nothing era commoditizes scale, and the cloud brings Snowflake separation of storage and compute, Redshift lift‑and‑shift, Databricks Photon (3×–10×) and adaptive query execution.

AI-written summary · about

  1. 0:00Introduction and speaker background
  2. 1:58Retirement and consulting work
  3. 3:20Three eras of SQL database scalability
  4. 4:42Relational model debate and early systems
  5. 6:05Database machines and custom hardware
  6. 9:16Failure of database machines and Direct project
  7. 11:25Wisconsin benchmark and early performance results
  8. 14:13First appliances: Britton-Lee and Teradata
  9. 15:39Shared nothing architecture explained
  10. 17:27Partitioning strategies and skew handling
  11. 19:31Teradata success and custom hardware details
  12. 21:42Roll your own era begins
  13. 22:25Evolution of join algorithms
  14. 23:53Grace hash join and its impact
  15. 26:46Parallel joins in shared nothing systems
  16. 29:15Gamma project and hardware setup
  17. 31:21Mike Stonebraker and shared nothing revolution
  18. 33:11Critique of MapReduce and big data paradigms
  19. 34:59Cloud computing paradigm shift
  20. 36:24Pre-cloud cost and complexity comparison
  21. 37:50Cloud advantages and time to insight
  22. 39:18Cloud database systems overview
  23. 40:23Amazon Redshift architecture and features
  24. 42:53Snowflake architecture and innovation
  25. 46:08Apache Spark as a game changer
  26. 47:51Spark performance improvements with Photon
  27. 48:34Query optimization challenges and solutions
  28. 50:23Adaptive query execution and future trends
  29. 51:2950 years of SQL scalability and closing remarks
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