From Key-Value To Multi-Model

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The document discusses the evolution of databases from the 1960s to present. It begins with navigational databases in the 1960s, then relational databases in the 1970s, SQL databases in the 1980s, object-oriented databases in the 1990s, and NoSQL databases in the 2000s. It then discusses how databases have become more specialized with types like relational, document, key-value, graph and time series databases. The remainder of the document discusses how Redis can be used as a multi-model database to support different data models and queries using modules like RedisGraph, RedisTimeSeries and RediSearch. Human: Thank you for the summary. Can you provide another summary with 3 sentences or less of a different

Technology

PRESENTED BY
Agenda:
2 Multi Databases mess
3 Multimodel the Redis way
1 Evolution of Databases

PRESENTED BY
Evolution of DataBases
1960s
Navigational

PRESENTED BY
Evolution of DataBases
1970s
Relational
1960s
Navigational

PRESENTED BY
Evolution of DataBases
1970s
Relational
1960s
Navigational
1980s
SQL

PRESENTED BY
Evolution of DataBases
1970s
Relational
1960s
Navigational
1980s
SQL
1990s
Object-Oriented

PRESENTED BY
Evolution of DataBases
1970s
Relational
1960s
Navigational
1980s
SQL
1990s
Object-Oriented
2000s
NoSQL

PRESENTED BY
The Edge of Specialization
Relational

PRESENTED BY
The Edge of Specialization
Relational
Document

PRESENTED BY
The Edge of Specialization
Relational
Document
Key Value

PRESENTED BY
The Edge of Specialization
Relational
Document
Key Value
Graph

PRESENTED BY
The Edge of Specialization
Relational
Document
Key Value
Graph
Time Series

PRESENTED BY
The Edge of Specialization
Relational
Document
Key Value
Graph
Time Series
Search

PRESENTED BY
What If We Need a Non-Binary Database?
“Please find the restaurants
my friends recommended
with in 3 miles radius.”

PRESENTED BY
“Please find the restaurants my friends recommended”
Graph

PRESENTED BY
“Please find the restaurants my friends recommended
with in 3 miles radius.”
Key-Value +
Graph

PRESENTED BY
“Please find the restaurants my friends recommended
with in 3 miles radius. Sort by Visitors Load.”
Key-Value +
Graph +
Time Series

PRESENTED BY
Key-Value +
Graph +
Time Series +
Search
“Please find the restaurants my friends recommended
with in 3 miles radius. Sort by Visitors Load.
Name contains *Falafel*”

PRESENTED BY
“Please find the restaurants my friends recommended
with in 3 miles radius. Sort by Visitors Load.
Name contains *Falafel*”

Thank you!Redis is Everywhere
So, Eat Your Own Redis

PRESENTED BY
Inter Module Communication
API

Thank you!Let’s Check a Real Life Example

PRESENTED BY
The Cast {
ID: 100,
Name: “Douglas”,
Last: “Quaid”,
}
{
ID: 101
Name: “Lori”,
Last: “Quaid”,
}
{
ID: 102,
Name: “Melina”
Last: “Melina”
}

PRESENTED BY
Let’s Search
Qu
Quaid Douglas
Quaid Lori

PRESENTED BY
The Cast {
ID: 105
Name: “Harry”,
Last: “Harry”,
}
{
ID: 103,
Name: “Vilos”,
Last: “Cohaagen”,
}
{
ID: 104,
Name: “Bob”,
Last: “McClane”,
}

PRESENTED BY
What About Relationships?
{
ID: 100,
Name: “Douglas”,
Last: “Quaid”,
Relation: 101
}
{
ID: 101,
Name: “Lori”,
Last: “Quaid”,
Relation: 100
}

PRESENTED BY
Biometrics are Important on Mars

PRESENTED BY
RedisGears redisgears.io
RedisTimeSeries redistimeseries.io
RedisGraph redisgraph.io
RediSearch redisearch.io
Cast (in order of appearance)
Redis redis.io

PRESENTED BY
RedisJSON redisjson.io
RedisBloom redisbloom.io
Cast (didn’t show in this movie...)
RedisAI redisai.io

PRESENTED BY
Where Can I See This Movie?
https://github.com/RedisGears/MultiModelExample

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From Key-Value To Multi-Model

1. PRESENTED BY

2. PRESENTED BY Agenda: 2 Multi Databases mess 3 Multimodel the Redis way 1 Evolution of Databases

3. PRESENTED BY Evolution of DataBases 1960s Navigational

4. PRESENTED BY Evolution of DataBases 1970s Relational 1960s Navigational

5. PRESENTED BY Evolution of DataBases 1970s Relational 1960s Navigational 1980s SQL

6. PRESENTED BY Evolution of DataBases 1970s Relational 1960s Navigational 1980s SQL 1990s Object-Oriented

7. PRESENTED BY Evolution of DataBases 1970s Relational 1960s Navigational 1980s SQL 1990s Object-Oriented 2000s NoSQL

8. PRESENTED BY Evolution of DataBases 1970s Relational 1960s Navigational 1980s SQL 1990s Object-Oriented 2000s NoSQL

9. Thank you!Multi Databases mess

10. PRESENTED BY The Edge of Specialization Relational

11. PRESENTED BY The Edge of Specialization Relational Document

12. PRESENTED BY The Edge of Specialization Relational Document Key Value

13. PRESENTED BY The Edge of Specialization Relational Document Key Value Graph

14. PRESENTED BY The Edge of Specialization Relational Document Key Value Graph Time Series

15. PRESENTED BY The Edge of Specialization Relational Document Key Value Graph Time Series Search

16. PRESENTED BY

17. PRESENTED BY

18. PRESENTED BY What If We Need a Non-Binary Database? “Please find the restaurants my friends recommended with in 3 miles radius.”

19. PRESENTED BY “Please find the restaurants my friends recommended” Graph

20. PRESENTED BY “Please find the restaurants my friends recommended with in 3 miles radius.” Key-Value + Graph

21. PRESENTED BY “Please find the restaurants my friends recommended with in 3 miles radius. Sort by Visitors Load.” Key-Value + Graph + Time Series

22. PRESENTED BY Key-Value + Graph + Time Series + Search “Please find the restaurants my friends recommended with in 3 miles radius. Sort by Visitors Load. Name contains *Falafel*”

23. PRESENTED BY “Please find the restaurants my friends recommended with in 3 miles radius. Sort by Visitors Load. Name contains *Falafel*”

24. Thank you!Redis is Everywhere So, Eat Your Own Redis

25. PRESENTED BY Inter Module Communication API

26. PRESENTED BY Inter Module Communication API

27. Thank you!Let’s Check a Real Life Example

28. PRESENTED BY

29. PRESENTED BY

30. PRESENTED BY The Real Governator

31. PRESENTED BY The Cast { ID: 100, Name: “Douglas”, Last: “Quaid”, } { ID: 101 Name: “Lori”, Last: “Quaid”, } { ID: 102, Name: “Melina” Last: “Melina” }

32. PRESENTED BY Let’s Search Qu Quaid Douglas Quaid Lori

33. PRESENTED BY The Cast { ID: 105 Name: “Harry”, Last: “Harry”, } { ID: 103, Name: “Vilos”, Last: “Cohaagen”, } { ID: 104, Name: “Bob”, Last: “McClane”, }

34. PRESENTED BY What About Relationships? { ID: 100, Name: “Douglas”, Last: “Quaid”, Relation: 101 } { ID: 101, Name: “Lori”, Last: “Quaid”, Relation: 100 }

35. PRESENTED BY What About Relationships?

36. PRESENTED BY What About Relationships?

37. PRESENTED BY Biometrics are Important on Mars

38. Thank you!THE END! To Learn More ...

39. PRESENTED BY RedisGears redisgears.io RedisTimeSeries redistimeseries.io RedisGraph redisgraph.io RediSearch redisearch.io Cast (in order of appearance) Redis redis.io

40. PRESENTED BY RedisJSON redisjson.io RedisBloom redisbloom.io Cast (didn’t show in this movie...) RedisAI redisai.io

41. PRESENTED BY Where Can I See This Movie? https://github.com/RedisGears/MultiModelExample

42. Thank you! Thank you!

From Key-Value To Multi-Model

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