Matthew McCullough's and Tim Berglund's presentation on a survey of NoSQL tools to the Denver Open Source Users Group

1. Why NoSQL
isn’t NO SQL
by Tim Berglund and Matthew McCullough

6. Data Scale

7. Gigabyte

8. Terabyte

9. Petabyte

10. 10s of Petabytes

11. Transaction Volume

12. Pedestrian data
volumes

13. Just be lazy

14. Wait for a faster CPU!

15. Wait for a faster hard
drive!

16. Wait for faster RAM!

17. Can’t be lazy anymore

18. More reads, less writes

19. More writes, less reads

20. Eventually consistent

21. ACID

22. The lies SQL tells you...

23. Memory is good

24. Precomputation is good

25. Normalization is good

26. Duplicating data is bad

27. CAP Theorem

28. 2000, Eric Brewer

29. MIT CS

30. Want three...

31. Consistency
Availability
Partition tolerance

37. Can have two...

38. Proven to be the case

39. NoSQL Personalities

40. Structured

41. Semi-structure

42. Unstructured

43. The Players

44. Column Oriented
Store

45. Key Value Store

46. Document Database

47. Not Only SQL

48. Re-examine
requirements

49. Which piece needs to
be fast?

50. What part needs to be
highly available?

51. Which part needs
extreme scalability?

53. Life as an architect is
getting harder

54. Now you’re responsible
for knowing about and
making tradeoffs

55. Lets you say Petabyte

56. And that makes you
cool

58. Thanks for listening

59. http://delicious.com/matthew.mccullough/nosql

60. • http://blog.nahurst.com/visual-guide-to-
nosql-systems
• http://nosql.mypopescu.com/
• http://delicious.com/matthew.mccullough/
nosql
• http://refcardz.dzone.com/refcardz/getting-
started-nosql-and-data