This document provides an overview of the evolution of database technologies from the 1960s to the present. It begins with navigational databases in the 1960s and relational databases in the 1970s. SQL databases emerged in the 1980s followed by object-oriented databases in the 1990s. NoSQL databases, including document, key-value, graph and time series databases, arose in the 2000s. The document then discusses using different database types together for various queries and applications. It provides examples of data structures and relationships that can be modeled across database types. Finally, it lists sessions at an upcoming conference focused on Redis technologies including RedisGears, RedisAI, RedisTimeSeries, RedisGraph and RediSearch.

3. 1960s
Navigational

4. 1970s
Relational
1960s
Navigational

5. 1970s
Relational
1960s
Navigational
1980s
SQL

6. 1970s
Relational
1960s
Navigational
1980s
SQL
1990s
Object-Oriented

7. 1970s
Relational
1960s
Navigational
1980s
SQL
1990s
Object-Oriented
2000s
NoSQL

8. 1970s
Relational
1960s
Navigational
1980s
SQL
1990s
Object-Oriented
2000s
NoSQL

10. Relational

11. Relational
Document

12. Relational
Document
Key Value

13. Relational
Document
Key Value
Graph

14. Relational
Document
Key Value
Graph
Time Series

15. Relational
Document
Key Value
Graph
Time Series
Search

17. “Please find the restaurants my friends recommended
with in 3 miles radius.”

18. friends recommended
with in 3 miles radius
Key-Value +
Graph

19. Key-Value +
Graph +
Time Series
Sort by Visitors Load.”

20. Key-Value +
Graph +
Time Series +
Search
Name contains *Falafel*

21. Name contains *Falafel*

23. Sub-optimal Resource Usage
Sub-optimal Resource Usage
Sub-optimal Resource Usage

34. {
ID: 100,
Name: “Douglas”,
Last: “Quaid”,
}
{
ID: 101
Name: “Lori”,
Last: “Quaid”,
}
{
ID: 102,
Name: “Melina”
Last: “Melina”
}

35. Qu
Quaid Douglas
Quaid Lori

36. {
ID: 105
Name: “Harry”,
Last: “Harry”,
}
{
ID: 103,
Name: “Vilos”,
Last: “Cohaagen”,
}
{
ID: 104,
Name: “Bob”,
Last: “McClane”,
}

37. {
ID: 100,
Name: “Douglas”,
Last: “Quaid”,
Relation: 101
}
{
ID: 101,
Name: “Lori”,
Last: “Quaid”,
Relation: 100
}

41. https://github.com/RedisGears/MultiModelExample

43. Tuesday, April 2 - 2:00 pm – 2:45 pm
ALCATRAZ
RedisGears
Meir Shpilraien, Redis Labs

44. Tuesday, April 2 - 3:00 pm – 3:45 pm
ALAMEDA
Serving Deep Learning Models
at Scale with RedisAI
Luca Antiga, Orobix & Guy Korland, RedisLans

45. Wednesday, April 3 - 1:00 pm – 1:45 pm
ALCATRAZ
RedisTimeSeries
Danni Moiseyev, Redis Labs

46. Wednesday, April 3 - 2:00 pm – 2:45 pm
ALAMEDA
Deep Dive into RedisGraph
Roi Lipman, Redis Labs

47. Wednesday, April 3 - 3:00 pm – 3:45 pm
TREASURE
RediSearch (CRDT + Benchmark)
Kyle Davis & Meir Shpilraien, Redis Labs