Intro to Datomic talk at the DC Graph Database meetup group. November 11th 2014.

1. DATOMIC
Jordan Leigh - @AlwaysBCoding

2. < >
STACKS
LOGO HERE
Slogan line here www.website.com │ contact@website.com
2

3. < >
STACKS
LOGO HERE
Slogan line here www.website.com │ contact@website.com
3
Ruby
Rails
jQuery
PostgreSQL

4. < >
STACKS
LOGO HERE
Slogan line here www.website.com │ contact@website.com
4
Ruby MongoDB
Rails Express
jQuery AngularJS
PostgreSQL NodeJS

5. < >
STACKS
LOGO HERE
Slogan line here www.website.com │ contact@website.com
5
Ruby MongoDB Clojure
Rails Express ClojureScript
ReactJS
Datomic
jQuery AngularJS
PostgreSQL NodeJS

6. < >
DATOMIC
LOGO HERE
Slogan line here www.website.com │ contact@website.com
6
Ruby MongoDB Clojure
Rails Express ClojureScript
ReactJS
Datomic
jQuery AngularJS
PostgreSQL NodeJS

7. THE DATABASE AS A VALUE

8. WHAT IS A VALUE

9. 42
VALUE

10. [1, 2, 3]
VALUE

11. :name “John Wall”
:age 24
VALUE
{
}

12. <0x00000101a958d8>
NOT A VALUE

13. person = Person.new(“John Wall”, 24)
NOT A VALUE

14. Postgres Database
NOT A VALUE

15. < >
ADVANTAGES OF VALUES
LOGO HERE
Slogan line here www.website.com │ contact@website.com
15

16. < >
ADVANTAGES OF VALUES
LOGO HERE
Slogan line here www.website.com │ contact@website.com
16
Easy to Share

17. < >
ADVANTAGES OF VALUES
LOGO HERE
Slogan line here www.website.com │ contact@website.com
17
Easy to Share
Reproducible Results

18. < >
ADVANTAGES OF VALUES
Reproducible Results
LOGO HERE
Slogan line here www.website.com │ contact@website.com
18
Easy to Share
Easy to Fabricate

19. < >
ADVANTAGES OF VALUES
Reproducible Results
LOGO HERE
Slogan line here www.website.com │ contact@website.com
19
Easy to Share
Easy to Fabricate
Language Independent

20. < >
ADVANTAGES OF VALUES
Reproducible Results
Language Independent
LOGO HERE
Slogan line here www.website.com │ contact@website.com
20
Easy to Share
Easy to Fabricate
Aggregate to Values

21. WHAT IS A FACT

22. John Wall plays for the Wizards
WHAT IS A FACT

23. John Wall played for the Wizards
on November 8th 2014
WHAT IS A FACT

24. Theodore Roosevelt
held the position
President of the United States
on March 5th 1905
WHAT IS A FACT

25. Theodore Roosevelt
March 5th 1905
WHAT IS A FACT
position
president

26. Theodore Roosevelt
March 5th 1905
WHAT IS A FACT
position
president
entity

27. Theodore Roosevelt
March 5th 1905
WHAT IS A FACT
position
president
attribute

28. Theodore Roosevelt
position
president value
March 5th 1905
WHAT IS A FACT

29. Theodore Roosevelt
March 5th 1905
WHAT IS A FACT
position
president
timestamp

30. OO MODEL

31. OO MODEL

32. OO MODEL

33. FACT BASED MODEL

34. FACT BASED MODEL
Timestamp

35. Timestamp Timestamp
FACT BASED MODEL

36. Timestamp Timestamp Timestamp
FACT BASED MODEL

37. A B C
Timestamp Timestamp Timestamp
GIT

38. < >
ADVANTAGES OF VALUES
Reproducible Results
Language Independent
LOGO HERE
Slogan line here www.website.com │ contact@website.com
38
Easy to Share
Easy to Fabricate
Aggregate to Values

39. < >
ADVANTAGES OF VALUES
Reproducible Results
Language Independent
LOGO HERE
Slogan line here www.website.com │ contact@website.com
39
Easy to Share
Easy to Fabricate
Aggregate to Values

40. {…}
timestamp
ONE FACT

41. [{…}, {…}, {…}, {…}, {…}, {…}]
time
A SERIES OF FACTS OVER TIME

42. [entity, attribute, value, timestamp]
STRUCTURE OF A FACT

43. [entity, attribute, value, timestamp]
[Wizards Ticket, price, $60, 11-11-2014 12:00pm]
STRUCTURE OF A FACT

44. [entity, attribute, value, timestamp]
[Wizards Ticket, price, $60, 11-11-2014 12:00pm]
DATOM
STRUCTURE OF A FACT

45. [DATOM, DATOM, DATOM, DATOM, DATOM]
time
A SERIES OF DATOMS OVER TIME

46. [DATOM, DATOM, DATOM, DATOM, DATOM]
time
DATOMIC
A SERIES OF DATOMS OVER TIME

47. QUERY

48. APP
HOW ARE WE DOING THIS NOW

49. APP
HOW ARE WE DOING THIS NOW

50. APP
“…”
HOW ARE WE DOING THIS NOW

51. APP
“…”
HOW ARE WE DOING THIS NOW

52. APP
“…”
value
HOW ARE WE DOING THIS NOW

53. APP
“…”
value
HOW ARE WE DOING THIS NOW

54. APP
“…”
value
manipulate with code
HOW ARE WE DOING THIS NOW

55. DATOMIC
APP

56. DATOMIC
APP

57. DATOMIC
APP
value

58. DATOMIC
APP
db
value

59. DATOMIC
APP
db
value
value

60. manipulate with code
DATOMIC
APP
db
value
value

61. [{…}, {…}, {…}, {…}, {…}, {…}]
time
A SERIES OF FACTS OVER TIME

62. [{…}, {…}, {…}, {…}, {…}, {…}]
PATTERN
[{…}, {…}, {…}]
PATTERN MATCHING

63. datomic.db.Db@4163cc8b
[:find ?name :where
[?eid :nba.team/city “washington”]
[?eid :nba.team/name ?name]]
#{[“wizards”]}
DATALOG

64. APP
“…”
value
HOW ARE WE DOING THIS NOW

65. [{…}, {…}, {…}, {…}, {…}, {…}]
QUERY
RESULT
PATTERN MATCHING

66. [{…}, {…}, {…}, {…}, {…}, {…}]
QUERY
RESULT
PATTERN MATCHING

67. [{…}, {…}, {…}, {…}, {…}, {…}]
QUERY
RESULT
PATTERN MATCHING

68. [{…}, {…}, {…}, {…}, {…}, {…}]
QUERY
RESULT
PATTERN MATCHING

69. SCHEMA

70. < >
SCHEMA CONCEPTS
LOGO HERE
Slogan line here www.website.com │ contact@website.com
70

71. < >
SCHEMA CONCEPTS
LOGO HERE
Slogan line here www.website.com │ contact@website.com
71
Declaration of Entity Types

72. < >
SCHEMA CONCEPTS
LOGO HERE
Slogan line here www.website.com │ contact@website.com
72
Declaration of Entity Types
Whitelist of Attributes by
Entity Type

73. < >
SCHEMA CONCEPTS
Whitelist of Attributes by
Entity Type
LOGO HERE
Slogan line here www.website.com │ contact@website.com
73
Declaration of Entity Types
Declaration of which
attributes are references

74. Entity
SCHEMA CONCEPTS

75. NBA Team
SCHEMA CONCEPTS

76. NBA Team
SCHEMA CONCEPTS
City: STRING
Name: STRING
Logo: URI

77. NBA Team
SCHEMA CONCEPTS
City: “washington”
Name: “wizards”
Logo: http://cdn.something.com/nba/logos/wizards.svg

78. NBA Player
SCHEMA CONCEPTS

79. NBA Player
SCHEMA CONCEPTS
Name: STRING
Birthdate: INSTANT
CurrentTeam: REF

80. NBA Player
Birthdate: #inst September 6 1990
SCHEMA CONCEPTS
Name: “John Wall”
CurrentTeam: 176523498213

81. Wizards
John
Wall
CurrentTeam
SCHEMA CONCEPTS

82. SCHEMA CONCEPTS
John
Wall
Wizards
PLAYER
TEAM

83. SCHEMA CONCEPTS
John
Wall
Wizards
wizards
vs.
nets
PLAYER
TEAM
GAME

84. SCHEMA CONCEPTS
John
Wall
Wizards
wizards
vs.
nets
PLAYER
TEAM
GAME
Dunk @
7:00 1Q
GAME EVENT

85. SCHEMA CONCEPTS
John
Wall
Wizards
wizards
vs.
nets
PLAYER
TEAM
GAME
Dunk @
7:00 1Q
GAME EVENT
scored by

86. SCHEMA CONCEPTS
John
Wall
Wizards
wizards
vs.
nets
PLAYER
TEAM
GAME
Dunk @
7:00 1Q
GAME EVENT
Otto
Porter
PLAYER
scored by
assisted by

87. SCHEMA CONCEPTS
John
Wall
Wizards
wizards
vs.
nets
PLAYER
TEAM
GAME
Dunk @
7:00 1Q
GAME EVENT
Otto
Porter
PLAYER
scored by
assisted by

88. OTHER NOTES

89. < >
THE GOOD
LOGO HERE
Slogan line here www.website.com │ contact@website.com
89

90. < >
THE GOOD
LOGO HERE
Slogan line here www.website.com │ contact@website.com
90
Decoupled from Storage

91. < >
THE GOOD
LOGO HERE
Slogan line here www.website.com │ contact@website.com
91
Decoupled from Storage
Functions in the Database

92. < >
THE GOOD
Functions in the Database
LOGO HERE
Slogan line here www.website.com │ contact@website.com
92
Decoupled from Storage
TX Report Queue

93. < >
THE BAD
LOGO HERE
Slogan line here www.website.com │ contact@website.com
93

94. < >
THE BAD
LOGO HERE
Slogan line here www.website.com │ contact@website.com
94
Not open source

95. < >
THE BAD
LOGO HERE
Slogan line here www.website.com │ contact@website.com
95
Not open source
Paid license to use in
production

96. < >
THE BAD
Paid license to use in
production
LOGO HERE
Slogan line here www.website.com │ contact@website.com
96
Not open source
Documentation around
deployment is rough

97. CODE