The 1000x faster financial database (Changelog Interviews #635)

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27d ago 1:40:28

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In July of 2020, Joran Dirk Greef stumbled into a fundamental limitation in the general-purpose database design for transaction processing. This sent him on a path that ended with TigerBeetle, a redesigned distributed database for financial transactions that yielded three orders of magnitude faster OLTP performance over the usual (general-purpose) suspects.

On this episode, Joran joins Jerod to explain how TigerBeetle got so fast, to defend its resilience and durability claims as a new market entrant, and to stake his claim at the intersection of open source and business. Oh, plus the age old question: Why Zig?

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Sponsors:

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Featuring:

Joran Dirk Greef – GitHub, LinkedIn, X
Jerod Santo – GitHub, LinkedIn, Mastodon, X

Show Notes:

Something missing or broken? PRs welcome!

Chapters

1. Welcome to The Changelog (00:00:00)

2. Sponsor: Augment Code (00:01:25)

https://www.augmentcode.com

3. Start the show! (00:04:33)

4. Stumbling into it (00:05:18)

5. Maybe I did it wrong (00:08:27)

6. It's the row locks (00:09:41)

7. Pareto meets the Mag 7 (00:11:33)

8. Financial, not SQL, transactions (00:13:40)

9. A specialized database (00:14:51)

10. Why build yet another database? (00:18:01)

11. Sponsor: Depot (00:22:56)

https://depot.dev

12. Where do you start? (00:25:16)

13. Who is 'we'? (00:27:46)

14. 10_000x faster?! (00:29:09)

15. New world, new constraints (00:30:44)

16. Row, column, mulit-major (00:32:14)

17. Multi-row major implications (00:36:08)

18. Embarrassingly simple (00:41:45)

19. On durability (00:44:36)

20. Centuries of testing (00:55:05)

21. What about real-world use tho (00:57:17)

22. Worst-case scenario logic (01:02:38)

23. Sponsor: Notion (01:03:55)

http://notion.com/changelog

24. TigerBeetle Simulator (01:07:03)

https://sim.tigerbeetle.com/

25. The open source story (01:15:38)

26. Jerod reacts (01:25:56)

27. What about AWS re-hosting (01:26:18)

28. Written in Zig (01:30:57)

29. Redis open source again? (01:36:28)

30. Wrapping up (01:37:28)

31. Closing thoughts (01:38:10)

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