Speed-up Your Big Data Applications with Sencha and Speedment

CONFIDENTIAL • Sencha Inc. ©2015

Speed-up Your Big Data Applications with Sencha and Speedment

Per MinborgCTO, Speedment


Demo Race


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


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


Difficult to Connect to Existing Data

DB

JDBCHibernate DAO

Methods for mapping between objects and database

ODM

Entity DefinitionsDTO

Data Access Layer


Difficult to Connect to Existing Data

Backend is often complicated, fragmented and dependent of several applications. Data becomes bigger and bigger every year


The Speedment Mission

7

Enable rapid and easy development of Big Data Apps with real time execution.


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


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


How does it Work?

10

In JVM memory cacheJava Objects in Graph

ViewSeparates Reads and WritesReflection in

real time

ApplicationJVM

Read

Write


Why will in-JVM Memory give you Insane Speed?

Database In JVM Memory

Compare latencies using the Speed of Light


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)


How can I fit my full Database in JVM Memory?

~24 GB

>1 TB

>4 TB

∞

On-HeapOff-

Heap

SSD

SQL

Database Size(After Compression)

Scale Up

Scale Out


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


Fast Development and Extreme Performance

Frontend

BackendOne end


Demo Get started with Speedment in 1 minute


Live Demo


Pivot Grid with >100 000 rows


Thanks!• www.spedment.com

• www.speedment.org

• GitHub: https://github.com/speedment/speedment-orm

• Twitter: @speedment

• Mail: [email protected]

• Blog: minborgsjavapot.blogspot.com

• Palo Alto

http://www.spedment.com/

http://www.speedment.org/

https://github.com/speedment/speedment-orm

https://github.com/speedment/speedment-orm

Technology

Speed-up Your Big Data Applications with Sencha and Speedment