These are the slides to Speedments backend implementation making Senchas application rund with unpresendented speed.

1. CONFIDENTIAL • Sencha Inc. ©2015
Speed-up Your Big Data Applications with
Sencha and Speedment
Per Minborg
CTO, Speedment

2. CONFIDENTIAL • Sencha Inc. ©2015
Demo Race

3. CONFIDENTIAL • Sencha Inc. ©2015
Agenda
3
• What Problems do we solve?
• What is Speedment?
• Video -Getting started with Speedment in 1 minute
• Live demo of connecting Speedment and Sencha

4. CONFIDENTIAL • Sencha Inc. ©2015
Current Problem
Consumer are demanding modern
applications with quick response times
• Ability to monitor activity in real time as it happens
on a site or app
• 1 second-delay in page response can result in 7%
reduction in conversion
Developers are facing a number of
challenges realizing quick responses
• Big data often lead to long response times
• Apps depends on backend databases / type

5. CONFIDENTIAL • Sencha Inc. ©2015
Difficult to Connect to Existing Data
DB
JDBCHibernate DAO
Methods for mapping between objects and database
ODM
Entity
Definitions
DTO
Data Access Layer

6. CONFIDENTIAL • Sencha Inc. ©2015
Difficult to Connect to Existing Data
Backend is often complicated,
fragmented and dependent of
several applications. Data
becomes bigger and bigger every
year

7. CONFIDENTIAL • Sencha Inc. ©2015
The Speedment Mission
7
Enable rapid and easy development of Big Data
Apps with real time execution.

8. CONFIDENTIAL • Sencha Inc. ©2015
What is Speedment?
• Database backend tool for applications
• Simplifies the challenge to develop
database applications
• You can, within hours, design, develop
and deploy applications
• Automatic generation of code, no need
to worry about the backend
Speedment
Sencha Application
Java Streams

9. CONFIDENTIAL • Sencha Inc. ©2015
What is Speedment?
• Convert large databases into
In-memory Java Objects (within JVM)
• Extreme Performance, real time Big Data –
Insane Mode
• Scales Linearly -More CPUs, More Insane

10. CONFIDENTIAL • Sencha Inc. ©2015
How does it Work?
10
In JVM memory cache
Java Objects in Graph View
Separates Reads and Writes
Reflection in
real time
Application
JVM
Read
Write

11. CONFIDENTIAL • Sencha Inc. ©2015
Why will in-JVM Memory give you Insane Speed?
Database In JVM Memory
Compare latencies using the Speed of Light

12. CONFIDENTIAL • Sencha Inc. ©2015
Why will in-JVM Memory give you Insane Speed?
• Keep everything in-JVM
• No need to check if an object is in cache
• We can organize objects knowing that we have them all
• We do not even have to look at individual objects -> O(1)
• Everything is Java
Size
Time
O(1)
O(n)

13. CONFIDENTIAL • Sencha Inc. ©2015
How can I fit my full Database in JVM Memory?
~24 GB
>1 TB
>4 TB
∞
On-Heap
Off-Heap
SSD
SQL
Database Size
(After Compression)
Scale Up
Scale Out

14. CONFIDENTIAL • Sencha Inc. ©2015
Cost of 1 GB RAM
$ 5
$ 0.04
$ 720,000
$ 67,000,000,000
Source: http://www.jcmit.com/memoryprice.htm
1959
2015
1985
2030

15. CONFIDENTIAL • Sencha Inc. ©2015
Fast Development and Extreme Performance
Frontend
Backend
One end

16. CONFIDENTIAL • Sencha Inc. ©2015
Demo Get started with Speedment in 1 minute

17. CONFIDENTIAL • Sencha Inc. ©2015
Live Demo

18. CONFIDENTIAL • Sencha Inc. ©2015
Pivot Grid with >100 000 rows

19. CONFIDENTIAL • Sencha Inc. ©2015
Thanks!
• www.spedment.com
• www.speedment.org
• GitHub: https://github.com/speedment/speedment-orm
• Twitter: @speedment
• Mail: sales@speedment.com
• Blog: minborgsjavapot.blogspot.com
• Palo Alto