Joe Drumgoole gave a presentation on the Internet of Things storage challenges. The number of sensors deployed is rapidly increasing from billions to trillions. These sensors generate massive amounts of real-time data that needs to be stored, filtered, and distributed. Relational databases are not well-suited for this type of unstructured IoT data. MongoDB is presented as a solution because it offers dynamic schemas, automatic scaling, text search, and other features that address the demands of storing and analyzing massive amounts of real-time IoT data.

1. MongoDB
IOT City Tour – Paris
9th June 2015
MongoDB Speaker:
Joe Drumgoole
Director of Solutions Architecture, EMEA

2. Internet of Things – Storage
Challenges
Joe Drumgoole
Director of Solutions Architecture (EMEA)
@jdrumgoole

3. 3
The Internet - 1971

4. 4
The Internet - 2015

5. 5
Google

6. 6
Google France

7. 7
It used to be Asymmetric
Outbound Bandwidth Inbound Bandwidth

8. 8
What used to be at the Edge?

9. 9
Today

10. 10
What’s Different

11. 11
It’s a sensor world

12. 12
Everyday Sensors

13. 13
Exotic Sensors

14. 14
What used to Happen
Local
Database

15. 15
What Happens Today
The
Internet
Cloud
Database

16. 16
Web Site - Density

17. 17
Smart Phone - Density

18. 18
Sensor- Density
Gartner – 4.9 billion devices
ABI Research – 16 billion devices
Datamation– 12.9 billion devices
Five Billon Sensors Deployed – Bosch SI

19. 19
• Ubiquitous, cheap sensors and controllers
• Ubiquitous cheap bandwidth
• HTTP/TCP/IP as a universal protocol
• On demand storage at cents per GB
What enables the IoT?

20. 20
What is the next big thing?
The thing we have been doing
badly for the last ten years
Why Now?

21. 21
What When Where
Store-Filter-Distribute
Millions of events per minute
Future use cases
IoT Demands

22. 22
Journey and Context
Arrival
Welcome / Greeting. Personal
concierge (“whisk away”). Alert
to staff member.
Departure
Thanks. “by the way…”, RAOK.
Find / Browse
Self-service on phone - “how can we
help today?”. “Let us come to you”.
Insertion point for relevant
information, offer, or reminder. Here
to pick something up? Timer for
being dealt with. Partner brands?
Here for Action
Pick up. Queue jump. Get service
with reduced friction, uncertainty.
1
2
3
4

23. 23
• Expensive Storage
• Cheap Programmers
• Tables of strings, ints, floats, dates
• One big machine
• A small number of connected users
• A well defined unchanging set of requirements
• Fortran and Cobol as coin of the realm
These are IoT Anti-Patterns
Relational Database Assumptions

24. 24
MongoDB
• Dynamic Schemas
• Automatic Scaling
• Text Search
• Aggregation Framework
and MapReduce
• Hadoop Integration
• GEO Search
• Full, Flexible Index Support
and Rich Queries
• Built-In Replication for High
Availability
• Advanced Security
• Large Media Storage with
GridFS
• Pluggable Storage Engine

25. For startups that want to be enterprises
and enterprises that want to be startups.